Temat: interval sets - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Handwrittenword recognition using fuzzy matching degrees
Autorzy:: Wróbel, Michał
Starczewski, Janusz T.
Fijałkowska, Justyna
Siwocha, Agnieszka
Napoli, Christian
Powiązania:: https://bibliotekanauki.pl/articles/2031113.pdf
Data publikacji:: 2021
Wydawca:: Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:: offline handwriting recognition
handwritten strokes
fuzzy matching degrees
interval type-2 fuzzy sets
decision trees
bigram frequency
Opis:: Handwritten text recognition systems interpret the scanned script images as text composed of letters. In this paper, efficient offline methods using fuzzy degrees, as well as interval fuzzy degrees of type-2, are proposed to recognize letters beforehand decomposed into strokes. For such strokes, the first stage methods are used to create a set of hypotheses as to whether a group of strokes matches letter or digit patterns. Subsequently, the second-stage methods are employed to select the most promising set of hypotheses with the use of fuzzy degrees. In a primary version of the second-stage system, standard fuzzy memberships are used to measure compatibility between strokes and character patterns. As an extension of the system thus created, interval type-2 fuzzy degrees are employed to perform a selection of hypotheses that fit multiple handwriting typefaces.
Źródło:: Journal of Artificial Intelligence and Soft Computing Research; 2021, 11, 3; 229-242
2083-2567
2449-6499
Pojawia się w:: Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: An approach to exponentiation with interval-valued power
Autorzy:: Tikhonenko-Kędziak, A.
Kurkowski, M.
Powiązania:: https://bibliotekanauki.pl/articles/122552.pdf
Data publikacji:: 2016
Wydawca:: Politechnika Częstochowska. Wydawnictwo Politechniki Częstochowskiej
Tematy:: IVFS
interval-values fuzzy sets
DST
Dempster-Shafer theory
operations on IVFS’s
teoria Dempster-Shafera
zbiory rozmyte
interwałowe zbiory rozmyte
Opis:: The main aim of the work is introducing an operation of raising intuitionistic fuzzy values to intuitionistic fuzzy power, which not requiring to conversion of intuitionistic fuzzy values. Introducing an operation of raising intuitionistic fuzzy values to intuitionistic fuzzy power, which does not require conversion of intuitionistic fuzzy values is the main aim of the work. It is known that, in the classical intuitionistic fuzzy sets theory, the use of all aggregation modes is not always possible because of the lack of definition of raising intuitionistic fuzzy values to intuitionistic fuzzy power. Therefore, the specific aim of the work is to present the heuristic method of raising intuitionistic fuzzy values to intuitionistic fuzzy power, and the consideration of its properties.
Źródło:: Journal of Applied Mathematics and Computational Mechanics; 2016, 15, 4; 157-169
2299-9965
Pojawia się w:: Journal of Applied Mathematics and Computational Mechanics
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Group Decision Making Problem by General Convexity or Concavity and Aggregation Process
Autorzy:: Pękala, B.
Powiązania:: https://bibliotekanauki.pl/articles/950993.pdf
Data publikacji:: 2016
Wydawca:: Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:: aggregation function
interval-valued fuzzy sets
S-convexity
T-concavity
Opis:: The averaging aggregation operators are defined and some interesting properties are derived. Moreover, we have extended concave and convex property. The main results concerning aggregation of generalized quasiconcave and quasiconvex functions are presented and some their properties are derived and discussed. The class of concavity and convexity of two variable aggregation operators that preserve these properties are studied.
Źródło:: Journal of Automation Mobile Robotics and Intelligent Systems; 2016, 10, 4; 62-69
1897-8649
2080-2145
Pojawia się w:: Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Rough support vector machine for classification with interval and incomplete data
Autorzy:: Nowicki, Robert K.
Grzanek, Konrad
Hayashi, Yoichi
Powiązania:: https://bibliotekanauki.pl/articles/91559.pdf
Data publikacji:: 2020
Wydawca:: Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:: support vector machines
rough sets
missing features
interval data
three–way decision
maszyna wektorów nośnych
dane interwałowe
Opis:: The paper presents the idea of connecting the concepts of the Vapnik’s support vector machine with Pawlak’s rough sets in one classification scheme. The hybrid system will be applied to classifying data in the form of intervals and with missing values [1]. Both situations will be treated as a cause of dividing input space into equivalence classes. Then, the SVM procedure will lead to a classification of input data into rough sets of the desired classes, i.e. to their positive, boundary or negative regions. Such a form of answer is also called a three–way decision. The proposed solution will be tested using several popular benchmarks.
Źródło:: Journal of Artificial Intelligence and Soft Computing Research; 2020, 10, 1; 47-56
2083-2567
2449-6499
Pojawia się w:: Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Interval-valued intuitionistic fuzzy failure modes and effect analysis of the system failure risk estimation
Autorzy:: Nguyen, H.
Powiązania:: https://bibliotekanauki.pl/articles/243789.pdf
Data publikacji:: 2017
Wydawca:: Instytut Techniczny Wojsk Lotniczych
Tematy:: interval-valued intuitionistic fuzzy sets
failure modes
effects analysis
system failure risk estimation
expert judgment
Opis:: Among the risk assessment methods, failure modes and effects analysis (FMEA) is a popular, widely used engineering technique in many areas. It can be used to identify and eliminate known or potential failure modes to enhance reliability and safety of complex systems. In practice, risk estimations encounter difficulties connected with shortage of data. In such cases, we have to rely on subjective estimations made by persons with practical knowledge in the field of interest, i.e. experts. However, in some realistic situations, the decision makers might be unable to assign the exact values to the evaluation judgments due to his/her limited knowledge. In other words, there is a certain degree of hesitancy in human cognition and his/her judgment, who may have insufficient knowledge of the problem domain or uncertainty in assigning the evaluation values to the objects considered. In order to deal with ambiguity and uncertainty in the imperfect information, there have been recently proposed many various such theories as fuzzy sets, interval-valued fuzzy sets, type-2 fuzzy sets, hesitant sets, grey sets, rough sets and intuitionistic fuzzy sets. They have drawn more and more attention of scholars and been adopted in many applications This article addresses the Atanassov’s interval-valued intuitionistic fuzzy sets and FMEA methods in the risk estimation of the system failures based on the expert judgments.
Źródło:: Journal of KONES; 2017, 24, 2; 159-166
1231-4005
2354-0133
Pojawia się w:: Journal of KONES
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:: Fuzzy recursive relationships in relational databases
Autorzy:: Myszkorowski, K.
Powiązania:: https://bibliotekanauki.pl/articles/95091.pdf
Data publikacji:: 2018
Wydawca:: Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
Tematy:: fuzzy databases
interval-valued fuzzy sets
recursive relationships
relational algebra
fixpoint operator
Opis:: Recursive relationships are used for modelling problems coming from the real life, such as, for example, a relationship describing formal dependencies between employees of an enterprise, where creation of work groups and teams requires analysis of many elements. In conventional database systems, the precision of data is assumed. If our knowledge of the fragment of reality to be modelled is imperfect one should apply tools for describing uncertain or imprecise information. One of them is the fuzzy set theory. The paper deals with recursive relationships in fuzzy databases. The analysis is performed with the use of the theory of interval-valued fuzzy sets. A definition of a fuzzy interval recursive relationship has been presented. The paper defines different connections of entities which participate in such relationships. Operations of the extended relational algebra are also discussed.
Źródło:: Information Systems in Management; 2018, 7, 1; 35-46
2084-5537
2544-1728
Pojawia się w:: Information Systems in Management
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 7.

Tytuł:: Relative Sets and Rough Sets
Autorzy:: Mousavi, A.
Jabedar-Maralani, P.
Powiązania:: https://bibliotekanauki.pl/articles/908368.pdf
Data publikacji:: 2001
Wydawca:: Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:: teoria mnogości
analiza danych
przedstawienie wiedzy
rough sets
set theory
data analysis
multi-valued logic
interval sets
knowledge representation
Opis:: In this paper, by defining a pair of classical sets as a relative set, an extension of the classical set algebra which is a counterpart of Belnap's four-valued logic is achieved. Every relative set partitions all objects into four distinct regions corresponding to four truth-values of Belnap's logic. Like truth-values of Belnap's logic, relative sets have two orderings; one is an order of inclusion and the other is an order of knowledge or information. By defining a rough set as a pair of definable sets, an integrated approach to relative sets and rough sets is obtained. With this definition, we are able to define an approximation of a rough set in an approximation space, and so we can obtain sequential approximations of a set, which is a good model of communication among agents.
Źródło:: International Journal of Applied Mathematics and Computer Science; 2001, 11, 3; 637-653
1641-876X
2083-8492
Pojawia się w:: International Journal of Applied Mathematics and Computer Science
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 8.

Tytuł:: Przedziałowe systemy rozmyte typu 2 w zarządzaniu emisją tlenków azotu
An interval type-2 fuzzy systems in the management of emissions of nitrogen oxides
Autorzy:: Kacprowicz, M.
Powiązania:: https://bibliotekanauki.pl/articles/407717.pdf
Data publikacji:: 2015
Wydawca:: Politechnika Lubelska. Wydawnictwo Politechniki Lubelskiej
Tematy:: sterownik rozmyty
logika rozmyta interwałowe zbiory rozmyte
interwałowe zbiory rozmyte typu 2
fuzzy controller
fuzzy logic
interval fuzzy sets
interval fuzzy sets of type 2
Opis:: Artykuł jest kontynuacją badań nad możliwościami zastosowań systemów rozmytych oraz systemów rozmytych wyższych rzędów do sterowania filtrami powietrza. Artykuł prezentuje również autorskie implikacje rozmyte i wykorzystanie ich w interwałowym sterowniku rozmytym typu 2. Zmiennie wejściowe, którymi są poziomy stężenia tlenków azotu, opisane są przy użyciu interwałowych zbiorów rozmytych typu 2. Przy użyciu reguł typu IF-THEN sterownik oblicza wartość nastaw filtra. Uzyskane wyniki są w bardzo wysokim stopniu zgodne z danymi przekazanymi przez eksperta.
This article is a continuation of research on the possibilities of applications of fuzzy systems and fuzzy systems of higher order to control the air filters. The article presents the author’s fuzzy implications and use of them in the interval type 2 fuzzy controller. Variable inputs which are the concentration’s levels of nitrogen oxides described by linguistic variables, interval type 2 fuzzy sets using the rules of the type IF-THEN controller calculates the filter settings. The results are highly correlated to a data provided by the expert.
Źródło:: Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska; 2015, 1; 20-23
2083-0157
2391-6761
Pojawia się w:: Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 9.

Tytuł:: Statistical inference about the median from vague data
Autorzy:: Grzegorzewski, P.
Powiązania:: https://bibliotekanauki.pl/articles/205933.pdf
Data publikacji:: 1998
Wydawca:: Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:: estymacja
metoda nieparametryczna
metoda statystyczna
testowanie hipotezy
zbiór rozmyty
confidence interval
estimation
fuzzy numbers
fuzzy sets
hypothesis testing
median
nonparametric statistics
sign-test
vague data
Opis:: In traditional statistics all parameters of the mathematical model and possible observations should be well defined. Sometimes such assumption appears too rigid for the real-life problems, especially when dealing with imprecise or linguistic data. To relax this rigidity fuzzy methods are incorporated into statistics. This paper is devoted to statistical inference about the population median in the presence of vague data. We propose the notion of fuzzy median. Then we suggest a fuzzy estimator and fuzzy confidence interval for the median. Next we discuss the problem of hypothesis testing concerning the median in the presence of imprecise data. All methods presented are distribution-free.
Źródło:: Control and Cybernetics; 1998, 27, 3; 447-464
0324-8569
Pojawia się w:: Control and Cybernetics
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 10.

Tytuł:: Group decision making using interval-valued intuitionistic fuzzy soft matrix and confident weight of experts
Autorzy:: Das, S.
Kar, S.
Pal, T.
Powiązania:: https://bibliotekanauki.pl/articles/91665.pdf
Data publikacji:: 2014
Wydawca:: Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:: multiple attribute group decision making
MAGDM
interval-valued intuitionistic fuzzy soft matrix
IVIFSM
interval-valued intuitionistic fuzzy soft sets
IVIFSSs
Opis:: This article proposes an algorithmic approach for multiple attribute group decision making (MAGDM) problems using interval-valued intuitionistic fuzzy soft matrix (IVIFSM) and confident weight of experts. We propose a novel concept for assigning confident weights to the experts based on cardinals of interval-valued intuitionistic fuzzy soft sets (IVIFSSs). The confident weight is assigned to each of the experts based on their preferred attributes and opinions, which reduces the chances of biasness. Instead of using medical knowledgebase, the proposed algorithm mainly relies on the set of attributes preferred by the group of experts. To make the set of preferred attributes more important, we use combined choice matrix, which is combined with the individual IVIFSM to produce the corresponding product IVIFSM. This article uses IVIFSMs for representing the experts’ opinions. IVIFSM is the matrix representation of IVIFSS and IVIFSS is a natural combination of interval-valued intuitionistic fuzzy set (IVIFS) and soft set. Finally, the performance of the proposed algorithm is validated using a case study from real life.
Źródło:: Journal of Artificial Intelligence and Soft Computing Research; 2014, 4, 1; 57-77
2083-2567
2449-6499
Pojawia się w:: Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 11.

Tytuł:: Interval Type-2 fuzzy Exponentially Weighted Moving Average Control Chart
Autorzy:: Adepoju, Akeem Ajibola
Abdulkadir, Sauta S.
Jibasen, Danjuma
Chiroma, Haruna
Powiązania:: https://bibliotekanauki.pl/articles/2021442.pdf
Data publikacji:: 2022-03-15
Wydawca:: Główny Urząd Statystyczny
Tematy:: Exponentially weighted moving average control chart
Fuzzy control chart
Fuzzy sets
Interval Type-2 fuzzy sets
Interval Type-2 fuzzy Exponentially Weighted Moving Average Control Chart
Statistical process control
Opis:: Some industrial data often come with uncertainty, which in some cases depends on the decision of those responsible for taking the measurement in the production process. While the fuzzy approach helps to tackle the ambiguity that arises in the measurement, an interval type-2 fuzzy set deals with such uncertainty better due to its flexibility over the control limits of its control chart. This paper aims to develop an Interval Type-2 fuzzy Exponentially Weighted Moving Average Control Chart (IT2FEWMA) under the fuzzy type-2 condition. This development will facilitate monitoring small and moderate shifts in the production process in conditions of uncertainty.
Źródło:: Statistics in Transition new series; 2022, 23, 1; 185-200
1234-7655
Pojawia się w:: Statistics in Transition new series
Dostawca treści:: Biblioteka Nauki

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