Wszystkie pola: fuzzy function - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Case of fuzzy loss function in multistage recognition algorithm
Autorzy:: Burduk, R.
Powiązania:: https://bibliotekanauki.pl/articles/333187.pdf
Data publikacji:: 2003
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: wielostopniowe rozpoznawanie wzorców
rozmyta utrata funkcji
zasada Bajesowska
multistage pattern recognition
fuzzy loss function
Bayes' rule
Opis:: The work deals with a recognition problem using a probabilistic-fuzzy model and multistage decision logic. A case where a loss function is described using fuzzy numbers has been considered. The globally optimal Bayes strategy has been calculated for this case with stage-dependent and dependent on the node of the decision tree fuzzy loss function. The obtained result is illustrated by a calculation example in which some methods for ranking fuzzy numbers were used.
Źródło:: Journal of Medical Informatics & Technologies; 2003, 5; MI107-112
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Skocz do pozycji: 2.

Tytuł:: An application of Fuzzy Quality Function Deployment to bunkering services
Autorzy:: Sevgili, C.
Zorba, Y.
Powiązania:: https://bibliotekanauki.pl/articles/135309.pdf
Data publikacji:: 2018
Wydawca:: Akademia Morska w Szczecinie. Wydawnictwo AMSz
Tematy:: bunkering
fuzzy logic
Quality Function Deployment
service quality
ship fuels
ship operations
Opis:: Bunkering is very important for the maritime industry because of the need for continuity of trade, its relation to the energy industry and its great economic value. Today, the volume of the world’s bunkering market is around 350 million tons annually. Although there are about 400 major bunkering ports in the world, most of the demand is concentrated in a few strategic ports: when comparing strategic regions of the world, Istanbul has a very small share. With this in mind, this paper aims to demonstrate the current situation of Istanbul and to improve service quality using Fuzzy Quality Function Deployment. Our results show that the criteria which customers look for, in order of importance, are: supply waiting time; bunker quality; usage and availability of barges; duration of bunkering operation; and bunker price and price competitiveness. The steps to be taken to improve service quality are determined as: increase storage facilities and capacities; create a structure that can provide 24/7 bunker supply; and increase importance of bunkering in port infrastructure and management in Turkey, to improve service quality and increase their fuel sales volume.
Źródło:: Zeszyty Naukowe Akademii Morskiej w Szczecinie; 2018, 54 (126); 19-27
1733-8670
2392-0378
Pojawia się w:: Zeszyty Naukowe Akademii Morskiej w Szczecinie
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Skocz do pozycji: 3.

Tytuł:: Fuzzy regression approach to road safety analysis at regional level
Autorzy:: Smolarek, L.
Wachnicka, J.
Powiązania:: https://bibliotekanauki.pl/articles/2069509.pdf
Data publikacji:: 2014
Wydawca:: Uniwersytet Morski w Gdyni. Polskie Towarzystwo Bezpieczeństwa i Niezawodności
Tematy:: road safety
fatality rate
regions
factors
modelling
Europe
fuzzy function
Poisson model
Opis:: Road safety modelling on regional level of NUTS 2 in the EU is the complex issue ant authors of this article indicate this in previous publications. During multivariate models development they discovered that it is difficult to make regression model well described all regions, even if they are from one country. In the first step Poisson model of road fatality rate as fatalities per 100 thou of citizens was prepared. In this article was presented the fuzzy regression approach to estimate lover and upper bounds of the modeled value.
Źródło:: Journal of Polish Safety and Reliability Association; 2014, 5, 2; 121--126
2084-5316
Pojawia się w:: Journal of Polish Safety and Reliability Association
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Skocz do pozycji: 4.

Tytuł:: Pattern recognition of sacroileitis with the use of multistage logic with a fuzzy loss function
Autorzy:: Burduk, R.
Powiązania:: https://bibliotekanauki.pl/articles/1965805.pdf
Data publikacji:: 2004
Wydawca:: Politechnika Gdańska
Tematy:: multistage classifier
sacroiletis
fuzzy loss function
k-nearest neighbor method
Opis:: The article describes the problem of pattern recognition of sacroileitis. Classification is based on a scheme of multistage recognition with a fuzzy loss function dependent on the node of the decision tree. Decision rules are based on k-nearest neighbors at particular internal nodes of the decision-tree. Paper presents influence of comparison fuzzy numbers on classifications results.
Źródło:: TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk; 2004, 8, 2; 217-221
1428-6394
Pojawia się w:: TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Skocz do pozycji: 5.

Tytuł:: Supporting decisions on the Forex market using fuzzy approach
Autorzy:: Juszczuk, Przemysław
Kruś, Lech
Powiązania:: https://bibliotekanauki.pl/articles/384399.pdf
Data publikacji:: 2020
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: trading system
Forex
fuzzy membership function
multicriteria analysis
Opis:: A new concept of the multicriteria fuzzy trading system using the technical analysis is proposed. The existing trading systems use different indicators of the technical analysis and generate buy or sell signal only when assumed conditions for a given indicator are satisfied. The information presented to the trader – decision maker is binary. The decision maker obtains a signal or no. In comparison to the existing traditional systems called as crisp, the proposed system treats all considered indicators jointly using the multicriteria approach and the binary information is extended with the use of the fuzzy approach. Currency pairs are considered as variants in the multicriteria space in which criteria refer to different technical indicators. The introduced domination relation allows generating the most efficient, non‐dominated (Pareto optimal) variants in the space. An algorithm generated these non-dominated variants is proposed. It is implemented in a computer‐based system assuring the sovereignty of the decision maker. We compare the proposed system with the traditional crisp trading system. It is made experimentally on different sets of real‐world data for three different types of trading: short‐term, medium and long‐term trading. The achieved results show the computational efficiency of the proposed system. The proposed approach is more robust and flexible than the traditional crisp approach. The set of variants derived for the decision maker in the case of the proposed approach includes only non‐dominated variants, what is not possible in the case of the traditional crisp approach. The reservation point and its impact on the overall results are measured with the use of the sensitivity analysis.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2020, 14, 2; 50-62
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Skocz do pozycji: 6.

Tytuł:: Spatio-temporal soil quality assessment under crop rotation irrigated with treated urban wastewater using fuzzy modelling
Autorzy:: Ghaemi, M.
Astaraei, A.R.
Mahalati, M.N.
Emami, H.
Sanaeinejad, H.H.
Powiązania:: https://bibliotekanauki.pl/articles/24657.pdf
Data publikacji:: 2014
Wydawca:: Polska Akademia Nauk. Instytut Agrofizyki PAN
Tematy:: spatio-temporal property
soil quality
assessment
crop rotation
irrigation
urban waste water
fuzzy model
fuzzy function
treated waste water
Opis:: Quantifying soil quality is important for asses- sing soil management practices effects on spatial and temporal variability of soil quality at the field scale. We studied the pos- sibility of defining a simple and practical fuzzy soil quality index based on biological, chemical and physical indicators for assessing quality variations of soil irrigated with well water and treated urban wastewater during two experimental years. In this study 6 proper- ties considered as minimum data set were selected out of 18 soil properties as total data set using the principal component analysis. Treated urban wastewater use had greater impact on biological and chemical quality. The results showed that the studied minimum data set could be a suitable representative of total data set. Significant correlation between the fuzzy soil quality index and crop yield (R 2 = 0.72) indicated the index had high biological significance for studied area. Fuzzy soil quality index approach (R 2 = 0.99) could be effectively utilized as a tool leading to better understanding soil quality changes. This is a first trial of creation of a universal index of soil quality undertaken.
Źródło:: International Agrophysics; 2014, 28, 3
0236-8722
Pojawia się w:: International Agrophysics
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Skocz do pozycji: 7.

Tytuł:: Reliability assessment of wind turbine generators by fuzzy universal generating function
Autorzy:: Huang, Tudi
Xiahou, Tangfan
Li, Yan-Feng
Qian, Hua-Ming
Liu, Yu
Huang, Hong-Zhong
Powiązania:: https://bibliotekanauki.pl/articles/1841742.pdf
Data publikacji:: 2021
Wydawca:: Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:: reliability assessment
double fed induction generator
multi-state system
fuzzy universal generating function
Opis:: Wind power has been widely used in the past decade because of its safety and cleanness. Double fed induction generator (DFIG), as one of the most popular wind turbine generators, suffers from degradation. Therefore, reliability assessment for this type of generator is of great significance. The DFIG can be characterized as a multi-state system (MSS) whose components have more than two states. However, due to the limited data and/or vague judgments from experts, it is difficult to obtain the accurate values of the states and thus it inevitably contains epistemic uncertainty. In this paper, the fuzzy universal generating function (FUGF) method is utilized to conduct the reliability assessment of the DFIG by describing the states using fuzzy numbers. First, the fuzzy states of the DFIG system’s components are defined and the entire system state is calculated based the system structure function. Second, all components’ states are determined as triangular fuzzy numbers (TFN) according to experts’ experiences. Finally, the reliability assessment of the DFIG based on the FUGF is conducted.
Źródło:: Eksploatacja i Niezawodność; 2021, 23, 2; 308-314
1507-2711
Pojawia się w:: Eksploatacja i Niezawodność
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Skocz do pozycji: 8.

Tytuł:: Orthonormal basis function fuzzy systems for biological wastewater treatment processes modeling
Autorzy:: Chaibakhsh, A.
Chaibakhsh, N.
Abbasi, M.
Norouzi, A.
Powiązania:: https://bibliotekanauki.pl/articles/91632.pdf
Data publikacji:: 2012
Wydawca:: Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:: fuzzy model
fuzzy system
orthonormal basis functions
OBF
treatment process
Laguerre filters
Opis:: In this paper, fuzzy models with orthonormal basis functions (OBF) framework are employed for modeling the nonlinear dynamics of biological treatment processes. These models are consisting of a linear part describing the system dynamics (Laguerre filters) followed by a non-linear static part (fuzzy system). The training procedure contains of two main steps: 1) obtaining the optimum time-scale and the order of truncated Laguerre network as the linear part and 2) defining membership functions, corresponding rules and adjusting the consequent parameters of fuzzy system as the nonlinear part. A comparison between the responses of the developed model and the original plant was performed in order to validate the accuracy of the developed model.
Źródło:: Journal of Artificial Intelligence and Soft Computing Research; 2012, 2, 4; 343-356
2083-2567
2449-6499
Pojawia się w:: Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Skocz do pozycji: 9.

Tytuł:: Evaluation of the Residual Bagging Height using the Regression Technique and Fuzzy Theory
Ocena wysokości odkształcenia przy wypychaniu dzianin metodą regresji i teorii zbiorów rozmytych
Autorzy:: Jaouachi, B.
Powiązania:: https://bibliotekanauki.pl/articles/232523.pdf
Data publikacji:: 2013
Wydawca:: Sieć Badawcza Łukasiewicz - Instytut Biopolimerów i Włókien Chemicznych
Tematy:: bagging
knitted fabric
residual height
fuzzy membership function
regression
pakowanie
dzianina
wysokość odkształcenia
wypychanie dzianin
teoria zbiorów rozmytych
regresja
Opis:: This paper deals with the evaluation of the residual bagging height using the fuzzy theory method. An experimental design was used to objectively evaluate the effect of input parameters on the residual bagging height of knitted fabrics using two different yarn structures without and within elastane filament. Our findings show that among the overall input parameters tested, two are influential. In our experimental design the fuzzy theory method was applied using five different membership functions: triangular-shaped, trapezoidal function, Gaussian, generalized-bell and Đ-shaped . To prove our results, the experimental regression technique and fuzzy theory were compared. In addition, among the other membership functions tested, the triangular membership function gives a more effective evaluation and widely fits to residual bagging height behaviour.
Praca opisuje ocenę wysokości odkształcenia przy wypychaniu dzianin przy zastosowaniu teorii zbiorów rozmytych. Eksperymentalny system został opracowany do oceny wpływu parametrów wyjściowych. Do badań przyjęto dzianiny wykonane z dwóch rodzajów przędzy, z oraz bez elastomerowego składnika. Nasze wyniki pokazują, że spośród wszystkich badanych parametrów wejściowych 2 posiadają istotne znaczenie. Do badań korzystano z metody zbiorów rozmytych stosując 5 różnych funkcji przynależności: trójkątną, trapezoidalną, Gaussowską, dzwonową oraz typu Pi. Dla oceny uzyskanych wyników przeprowadzono porównanie danych uzyskanych z teorii zbiorów rozmytych oraz techniki regresji danych doświadczalnych. Stwierdzono, że najlepsze rezultaty uzyskano stosując metodę trójkątnej funkcji przynależności, przy której korelacja z danymi eksperymentalnymi wysokości odkształcenia przy wypychaniu była największa.
Źródło:: Fibres & Textiles in Eastern Europe; 2013, 4 (100); 92-98
1230-3666
2300-7354
Pojawia się w:: Fibres & Textiles in Eastern Europe
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Skocz do pozycji: 10.

Tytuł:: An analysis of using triangular truth function in fuzzy reasoning based on a fuzzy truth value
Autorzy:: Kudłacik, P.
Powiązania:: https://bibliotekanauki.pl/articles/333552.pdf
Data publikacji:: 2013
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:: fuzzy reasoning
fuzzy truth value
fuzzy systems
rozumowanie rozmyte
logika rozmyta
systemy rozmyte
Opis:: Fuzzy systems are widely used in research and applications considering complex information like gene recognition and classification. Because of the character of genetic data, the extensive knowledge bases of such systems contain complex rules described by even thousands of atomic premises. This paper presents an analysis of fuzzy reasoning based on a fuzzy truth value, presented by Baldwin. The solution is an interesting, alternative approach to fuzzy inference. Considering the Zadeh’s compositional rule of inference, the idea of Baldwin has an advantage of resolving the whole inference process within the truth space. The approach is especially convenient for systems with large number of premises in rules, like mentioned gene classification systems. Although the solution of Baldwin is characterized by significantly lower computational complexity than the full implementation of the compositional rule of inference, it is not applied in contemporary systems. Over the years different researchers proposed simplified approaches, which are easier to implement and faster. The analysis presented in this paper considers possible simplifications that could be applied to the approach of Baldwin, where facts and fuzzy truth values are described by triangular membership functions. Such assumptions open the possibility of implementation of fast Baldwin’s inference and applications even for complex genetic data. Nevertheless, the solution would preserve one of the biggest advantage, which is the fuzzy relation, in form of the truth function, between a fact and a premise, throughout the whole inference process. Other fast approaches reduce this relation to only one value.
Źródło:: Journal of Medical Informatics & Technologies; 2013, 22; 103-110
1642-6037
Pojawia się w:: Journal of Medical Informatics & Technologies
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Skocz do pozycji: 11.

Tytuł:: T–S fuzzy BIBO stabilisation of non-linear systems under persistent perturbations using fuzzy Lyapunov functions and non-PDC control laws
Autorzy:: Salcedo, José V.
Martínez, Miguel
García-Nieto, Sergio
Hilario, Adolfo
Powiązania:: https://bibliotekanauki.pl/articles/330030.pdf
Data publikacji:: 2020
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:: linear matrix inequalities
Takagi–Suegno fuzzy system
fuzzy Lyapunov function
integral delayed Lyapunov function
nonparallel distributed fuzzy controller
generalised inescapable ellipsoids
liniowe nierówności macierzowe
model rozmyty Takagi-Sugeno
funkcja Lapunowa
Opis:: This paper develops an innovative approach for designing non-parallel distributed fuzzy controllers for continuous-time non-linear systems under persistent perturbations. Non-linear systems are represented using Takagi–Sugeno fuzzy models. These non-PDC controllers guarantee bounded input bounded output stabilisation in closed-loop throughout the computation of generalised inescapable ellipsoids. These controllers are computed with linear matrix inequalities using fuzzy Lyapunov functions and integral delayed Lyapunov functions. LMI conditions developed in this paper provide non-PDC controllers with a minimum ⋆-norm (upper bound of the 1-norm) for the T–S fuzzy system under persistent perturbations. The results presented in this paper can be classified into two categories: local methods based on fuzzy Lyapunov functions with guaranteed bounds on the first derivatives of membership functions and global methods based on integral-delayed Lyapunov functions which are independent of the first derivatives of membership functions. The benefits of the proposed results are shown through some illustrative examples.
Źródło:: International Journal of Applied Mathematics and Computer Science; 2020, 30, 3; 529-550
1641-876X
2083-8492
Pojawia się w:: International Journal of Applied Mathematics and Computer Science
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Skocz do pozycji: 12.

Tytuł:: Statistical distributions and reliability functions with type-2 fuzzy parameters
Rozkłady statystyczne i funkcje niezawodności o parametrach rozmytych typu-2
Autorzy:: Khaniyev, Tahir
Baskir, M. Bahar
Gokpinar, Fikri
Mirzayev, Farhad
Powiązania:: https://bibliotekanauki.pl/articles/301821.pdf
Data publikacji:: 2019
Wydawca:: Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:: type-2 fuzzy number
type-2 fuzzy parameters
(α,β)-cuts
fuzzy probability distribution
fuzzy reliability function
liczba rozmyta typu-2
parametry rozmyte typu-2
(α,β) -cięcia
rozmyty rozkład prawdopodobieństwa
rozmyta funkcja niezawodności
Opis:: Type-2 fuzzy sets were initially given by Zadeh as an extension of type-1 fuzzy sets. There is a growing interest in type-2 fuzzy set and its memberships (named secondary memberships) to handle the uncertainty in type-1 fuzzy set and its primary membership values. However, arithmetical operators on type-2 fuzzy sets have computational complexity due to third dimension of these sets. In this study, we present some mathematical operators which can be easily applied to type-2 fuzzy sets and numbers. Also, mathematical functions of type-2 fuzzy numbers are given according to their monotonicity. These functions are adapted to reliability and distribution functions of the random variables with the type-2 fuzzy parameters. These functions are applied to Exponential, Chi-square, Weibull distributions with respect to monotonicity of the parameters of these distributions.
Zbiory rozmyte typu 2 po raz pierwszy zaproponował Zadeh jako rozszerzenie zbiorów rozmytych typu 1. Zbiory rozmyte typu 2 oraz ich funkcje przynależności (zwane wtórnymi funkcjami przynależności) cieszą się rosnącym zainteresowaniem, ponieważ pozwalają na modelowanie niepewności w zbiorze rozmytym typu 1 oraz wartości pierwotnych funkcji przynależności do takiego zbioru. Ich wadą jest złożoność obliczeniowa operatorów arytmetycznych wynikająca z trójwymiarowości tych zbiorów. W artykule przedstawiono operatory matematyczne, które można z powodzeniem stosować w odniesieniu do zbiorów i liczb rozmytych typu 2. Podano również funkcje matematyczne liczb rozmytych typu 2 zgodnie z ich monotonicznością. Funkcje te są dostosowane do funkcji niezawodności i rozkładu zmiennych losowych z parametrami rozmytymi typu 2. Można je stosować do opisu rozkładów wykładniczych, chi-kwadrat, oraz Weibulla w odniesieniu do monotoniczności parametrów tych rozkładów.
Źródło:: Eksploatacja i Niezawodność; 2019, 21, 2; 268-274
1507-2711
Pojawia się w:: Eksploatacja i Niezawodność
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Skocz do pozycji: 13.

Tytuł:: The Optimization of a Revenue Function in a Fuzzy Linear Programming Model Used for Industrial Production Planning
Autorzy:: Vasant, P.
Barsoum, N
Webb, J F
Powiązania:: https://bibliotekanauki.pl/articles/108740.pdf
Data publikacji:: 2009
Wydawca:: Społeczna Akademia Nauk w Łodzi
Tematy:: production planning
Vague environment
Membership function
Fuzzy interval
Satisfactory solutions
Opis:: In this paper, the S-curve membership function methodology is used in a reallife industrial problem in which there are various products, each of which requires a certain mix of raw materials selected from a set of available raw materials. This problem occurs in the chocolate manufacturing industry where decision makers and implementers play important roles that enable successful manufacturing of the products in an uncertain environment. The analysis in this paper tries to find a solution that helps a decision maker when deciding on what to implement. This problem is considered because it can be modeled with the help of fuzzy parameters (for example, the availability of raw materials is not always certain, and so can be treated as a fuzzy parameter). With 29 constraints and 8 variables the problem here is sufficiently large for the S-curve methodology employed because this methodology is applicable to problems with as few as 1 constraint and 1 variable. A decision maker can specify which vagueness parameter is suitable for achieving a revenue which through the analysis results in an initial solution that can be implemented. From the results of this implementation the decision maker can then suggest some possible and practicable changes in fuzzy intervals for improving the revenue. Within the framework of the analysis this interactive process has to go on between the decision maker and the implementer until an optimum solution is achieved and implemented.
Źródło:: Journal of Applied Computer Science Methods; 2009, 1 No. 2; 65-83
1689-9636
Pojawia się w:: Journal of Applied Computer Science Methods
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Skocz do pozycji: 14.

Tytuł:: Optimization of membership function parameters for fuzzy controllers of an autonomous mobile robot using the flower pollination algorithm
Autorzy:: Carvajal, O. R.
Castillo, O.
Soria, J.
Powiązania:: https://bibliotekanauki.pl/articles/385152.pdf
Data publikacji:: 2018
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: Flower Pollination Algorithm
FPA
membership functions
optimization problems
fuzzy system
algorytm zapylenia kwiatowego
problemy optymalizacyjne
system rozmyty
Opis:: In this work we describe the optimization of a Fuzzy Logic Controller (FLC) for an autonomous mobile robot that needs to follow a desired path. The FLC is for the simulation of its trajectory, the parameters of the membership functions of the FLC had not been previously optimized. We consider in this work with the flower pollination algorithm (FPA) as a method for optimizing the FLC. For this reason, we use the FPA to find the best parameters with the objective of minimizing the error between the trajectory of the robot and the reference. A comparative study of results with different metaheuristics is also presented in this work.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2018, 12, 1; 44-49
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Skocz do pozycji: 15.

Tytuł:: An Analytical Study for the Role of Fuzzy Logic in Improving Metaheuristic Optimization Algorithms
Autorzy:: Vij, Sonakshi
Jain, Amita
Tayal, Devendra
Castillo, Oscar
Powiązania:: https://bibliotekanauki.pl/articles/385121.pdf
Data publikacji:: 2018
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: fuzzy logic
metaheuristics
evolutionary computing
genetic algorithm
particle swarm optimization (PSO)
ant colony optimization
fuzzy evolutionary algorithm
fuzzy cuckoo
fuzzy simulated annealing
fuzzy swarm intelligence
fuzzy differential evolution
tabu
fuzzy mutation
fuzzy natural selection
fuzzy fitness function
big bang big crunch
fuzzy bacterial
neuro fuzzy logic
logika rozmyta
metaheurystyka
obliczenia ewolucyjne
algorytm genetyczny
optymalizacja roju cząstek
optymalizacja kolonii mrówek
Opis:: The research applications of fuzzy logic have always been multidisciplinary in nature due to its ability in handling vagueness and imprecision. This paper presents an analytical study in the role of fuzzy logic in the area of metaheuristics using Web of Science (WoS) as the data source. In this case, 178 research papers are extracted from it in the time span of 1989-2016. This paper analyzes various aspects of a research publication in a scientometric manner. The top cited research papers, country wise contribution, topmost organizations, top research areas, top source titles, control terms and WoS categories are analyzed. Also, the top 3 fuzzy evolutionary algorithms are extracted and their top research papers are mentioned along with their topmost research domain. Since neuro fuzzy logic poses feasible options for solving numerous research problems, hence a section is also included by the authors to present an analytical study regarding research in it. Overall, this study helps in evaluating the recent research patterns in the field of fuzzy metaheuristics along with envisioning the future trends for the same. While on one hand this helps in providing a new path to the researchers who are beginners in this field as they can start exploring it through the analysis mentioned here, on the other hand it provides an insight to professional researchers too who can dig a little deeper in this field using knowledge from this study.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2018, 12, 4; 11-27
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

Artykuł

Zmień widok

na półce

Informacja

Wyszukujesz frazę "fuzzy function" wg kryterium: Wszystkie pola

Źródło danych

Dostawca treści

Kolekcja

Rok wydania

Wydawca

Temat

Autor

Typ dokumentu

Język