On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
An efficient approach to solving fuzzy MADM problems
Fuzzy Sets and Systems
Extensions of the TOPSIS for group decision-making under fuzzy environment
Fuzzy Sets and Systems
Fuzzy outranking for environmental assessment: Case study: iron and steel making industry
Fuzzy Sets and Systems - Special issue on soft decision analysis
A fuzzy approach to select the location of the distribution center
Fuzzy Sets and Systems
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Fuzzy Multiple Attribute Decision Making: Methods and Applications
An analytic approach for obtaining maximal entropy OWA operator weights
Fuzzy Sets and Systems
Fuzzy Sets and Systems - Optimisation and decision
Using fuzzy MCDM to select partners of strategic alliances for liner shipping
Information Sciences—Informatics and Computer Science: An International Journal
Fuzzy risk analysis based on similarity measures of generalized fuzzy numbers
IEEE Transactions on Fuzzy Systems
Group decision-making based on concepts of ideal and anti-ideal points in a fuzzy environment
Mathematical and Computer Modelling: An International Journal
Combining grey relation and TOPSIS concepts for selecting an expatriate host country
Mathematical and Computer Modelling: An International Journal
Computing with words in decision making: foundations, trends and prospects
Fuzzy Optimization and Decision Making
An extension of the Promethee II method based on generalized fuzzy numbers
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Mathematical and Computer Modelling: An International Journal
A fuzzy TOPSIS model via chi-square test for information source selection
Knowledge-Based Systems
Hi-index | 12.05 |
Most multicriteria methods try to model human thinking and insert the results of this modelling into their procedures. Following this path, the proposed multicriteria approach first captures the imprecision and vagueness of data by using linguistic variables. At a second level, it utilises human processes of decision-making by creating decision rules and modelling them with functions used in fuzzy sets theory. This method also is compatible with the way fuzzy logic models and combines fuzzy propositions. The proposed method considers the ideal solution and the anti-ideal solution and assesses each alternative in terms of distance as well as similarity to the ideal solution and the anti-ideal solution. Distance and similarity measures for fuzzy numbers are used and their aggregation is guided by the decision rules in order to construct decision functions. Further, OWA operators with maximal entropy are used to aggregate across all criteria and determine the overall score of each alternative. It is shown that the proposed method presents flexibility in modelling the decision maker's preferences and it is also appropriate and effective to handle multicriteria problems of considerable complexity.