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Wyszukujesz frazę "Moalla Frikha, Hela" wg kryterium: Autor

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    Wyświetlanie 1-7 z 7
    Tytuł:
    A New Procedure of Criteria Weight Determination Within the ARAS Method
    Autorzy:
    Ghram, Maroua
    Moalla Frikha, Hela
    Powiązania:
    https://bibliotekanauki.pl/articles/578473.pdf
    Data publikacji:
    2018
    Wydawca:
    Uniwersytet Ekonomiczny w Katowicach
    Tematy:
    Kryteria oceny
    Metoda ARAS
    Wielokryterialna analiza decyzyjna
    ARAS method
    Criteria weights
    Multiple criteria decision analysis
    Opis:
    In most of multicriteria aggregation methods, we need to elicit parameters that are generally determined directly by the decision-maker (DM). Direct assigning of parameters and criteria weights presents a crucial and difficult step in the decision-making process. However, this kind of information is too subjective and may affects the reliability of the results. To overcome this issue, we suggest a weighting method based on mathematical programming to incorporate the DM’s preferences indirectly within the ARAS method.
    Źródło:
    Multiple Criteria Decision Making; 2018, 13; 56-73
    2084-1531
    Pojawia się w:
    Multiple Criteria Decision Making
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A PROMETHEE II-BELIEF for multi-criteria decision-making problems with incomplete information
    Autorzy:
    Moalla Frikha, Hela
    Frikha, Ahmed
    Powiązania:
    https://bibliotekanauki.pl/articles/2027998.pdf
    Data publikacji:
    2021
    Wydawca:
    Uniwersytet Ekonomiczny w Katowicach
    Tematy:
    Belief function theory
    Incomplete information
    Multiple criteria aid
    PROMETHEE II method
    Opis:
    Multi-criteria decision aid methods consider decision problems in which many alternatives are evaluated on several criteria. These methods are used to deal with perfect information. However, in practice, it is obvious that this information requirement is too strict. In fact, the imperfect data provided by more or less reliable decision makers usually affect decision results, since any decision is closely linked to the quality and availability of information. In this paper, a PROMETHEE II-BELIEF approach is proposed to help multi-criteria decisions based on incomplete information. This approach solves problems with incomplete decision matrix and unknown weights within PROMETHEE II method. On the basis of belief function theory, our approach first determines the distributions of belief masses based on PROMETHEE II’s net flows, and then calculates weights. Subsequently, it aggregates the distribution masses associated with each criterion using Murphy’s modified combination rule in order to infer a global belief structure. The final alternative ranking is obtained via pignistic probability transformation. A case study of a real-world application concerning the location of a treatment center of waste from healthcare activities with infectious risk in the center of Tunisia is studied to illustrate the detailed process of the PROMETHEE II-BELIEF approach.
    Źródło:
    Multiple Criteria Decision Making; 2021, 16; 60-88
    2084-1531
    Pojawia się w:
    Multiple Criteria Decision Making
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    An intuitionistic fuzzy extension of the codas-sort method
    Autorzy:
    Ouhibi, Abir
    Moalla Frikha, Hela
    Powiązania:
    https://bibliotekanauki.pl/articles/2027996.pdf
    Data publikacji:
    2021
    Wydawca:
    Uniwersytet Ekonomiczny w Katowicach
    Tematy:
    CODAS-SORT
    Intuitionistic fuzzy set
    Multicriteria decision aid
    Sorting methods
    Opis:
    Currently, an important issue in multi-criteria decision-making (MCDM) problems are vagueness and lack of precision of decision-making information because of insufficient data and incapability of the decision maker to process the information. Intuitionistic fuzzy sets (IFS) are a solution to eliminate the vagueness and the uncertainty. While fuzzy sets (FS) deal with ambiguity and vagueness problem, IFSs have more advantages. Moreover, the CODAS-SORT method cannot handle the uncertainty and ambiguity of information provided by human judgments. The aim of this study is to develop an IF extension of CODAS-SORT combining this method with the IFS theory. To achieve this, we use the fuzzy weighted Euclidean distance and fuzzy weighted Hamming distance instead of the crisp distances. A case study of a supplier selection assessment is used to clarify the details of our proposed method.
    Źródło:
    Multiple Criteria Decision Making; 2021, 16; 110-121
    2084-1531
    Pojawia się w:
    Multiple Criteria Decision Making
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A new approach for criteria weight elicitation of the ARAS-H method
    Autorzy:
    Ghram, Maroua
    Moalla Frikha, Hela
    Powiązania:
    https://bibliotekanauki.pl/articles/2027997.pdf
    Data publikacji:
    2021
    Wydawca:
    Uniwersytet Ekonomiczny w Katowicach
    Tematy:
    ARAS-H
    Criteria weights
    Mathematical programming
    Multiple Criteria Decision Aiding
    Preference disaggregation
    Opis:
    Criteria weight inference is a crucial step for most of multi-criteria methods. However, criteria weights are often determined directly by the decision-maker (DM) which makes the results unreliable. Therefore, to overcome the imprecise weighting, we suggest the use of the preference programming technique. Instead of obtaining criteria weights directly from the DM, we infer them in a more objective manner to avoid the subjectivity and the unreliability of the results. Our aim is to elicit the ARAS-H criteria weights at each level of the hierarchy tree via mathematical programming, taking into account the DM’s preferences. To put it differently, starting from preference information provided by the DM, we proceed to model our constraints. The ARAS-H method is an extension of the classical ARAS method for the case of hierarchically structured criteria. We adopt a bottom-up approach in order to elicit ARAS-H criteria weights, that is, we start by determining the elementary criteria weights (i.e. the criteria at the lowest level of the hierarchy tree). The solution of the linear programs is obtained using LINGO software. The main contribution of our criteria weight elicitation procedure is in overcoming imprecise weighting without excluding the DM from the decision making process.
    Źródło:
    Multiple Criteria Decision Making; 2021, 16; 89-109
    2084-1531
    Pojawia się w:
    Multiple Criteria Decision Making
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The multicriteria group decision making flowsort method under uncertainty
    Autorzy:
    Remadi, Fedia Daami
    Moalla Frikha, Hela
    Powiązania:
    https://bibliotekanauki.pl/articles/2027995.pdf
    Data publikacji:
    2021
    Wydawca:
    Uniwersytet Ekonomiczny w Katowicach
    Tematy:
    Intuitionistic fuzzy set
    FlowSort method
    Multicriteria group decision making
    Sorting problematic
    Opis:
    Crisp values are insufficient to model real-life situations and imprecise ideas are frequently represented in multicriteria decision aid analysis. In fact, it is difficult to treat the evaluation criteria precisely and to fix exact preferences rating. The triangular intuitionistic fuzzy numbers succeeded to treat this kind of ambiguity in a great deal of research than other forms of fuzzy representation functions. The field of sorting issues is an active research topic in the multiple criteria decision aid (MCDA). This study extended one of the sorting methods, FLOWSORT, for solving multiple criteria group decision-making problems. This extension described the preferences rating of alternatives as linguistic terms which can be easily expressed in triangular intuitionistic fuzzy numbers. To validate our extension, an illustrative example as well as an empirical comparison with other multi-criteria decision making methods is presented.
    Źródło:
    Multiple Criteria Decision Making; 2021, 16; 122-139
    2084-1531
    Pojawia się w:
    Multiple Criteria Decision Making
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    An extension of the codas method based on interval rough numbers for multi-criteria group decision making
    Autorzy:
    Regaieg Cherif, Mouna
    Moalla Frikha, Hela
    Powiązania:
    https://bibliotekanauki.pl/articles/2028004.pdf
    Data publikacji:
    2021
    Wydawca:
    Uniwersytet Ekonomiczny w Katowicach
    Tematy:
    Group decision making
    Interval Rough Numbers
    IR-CODAS method
    Risk assessment
    Opis:
    This study aims to develop a new Interval Rough COmbinative Distance-based Assessment (IR CODAS) method for handling multiple criteria group decision making problems using linguistic terms. A single decision maker is unable to express his opinions or preferences on multiple criteria decisions, while a Multi-Criteria Group Decision Making MCGDM process ensures successful outcomes when handling greater imprecision and vagueness information. A real-life case study of risk assessment is investigated using our proposed IR-CODAS method to test and validate its application; a sensitivity analysis is also performed.
    Źródło:
    Multiple Criteria Decision Making; 2021, 16; 23-43
    2084-1531
    Pojawia się w:
    Multiple Criteria Decision Making
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Hierarchical Structuring for the Olive Trees Irrigation Problem in Tunisia
    Autorzy:
    Daoud Ben Amor, Wiem
    Moalla Frikha, Hela
    Powiązania:
    https://bibliotekanauki.pl/articles/578499.pdf
    Data publikacji:
    2018
    Wydawca:
    Uniwersytet Ekonomiczny w Katowicach
    Tematy:
    Analytic Hierarchy Process
    Entropia Shannona
    Nawadnianie drzew oliwnych
    Niepewność
    Wielokryterialna pomoc decyzyjna
    Incertitude
    Multicriteria decision aid
    Olive trees irrigation
    Shannon’s Entropy
    Opis:
    The problem of choosing the best type of water for the irrigation of olive trees is one of the decisions that have a crucial impact on the water resource management. To solve this problem, we propose a multi-expert approach, implying several quantitative and qualitative criteria and combining the AHP method and Shannon’s entropy probability method. First, we use the AHP method to calculate all criteria weights for the various hierarchical levels as well as weights of the alternatives. Using the results obtained, we rank the types of water according to four experts. However, the data supplied by the experts are contradictory. We therefore combine these results according to the experts’ importance. We used Shannon’s entropy to determine the importance degree of each expert, to aggregate the results. The proposed approach showed that using well water was selected as the best for irrigation. Reuse of treated wastewater was classified as second, followed by desalinated brackish water and, next, by desalinated seawater.
    Źródło:
    Multiple Criteria Decision Making; 2018, 13; 29-55
    2084-1531
    Pojawia się w:
    Multiple Criteria Decision Making
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-7 z 7

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