On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Social choice axioms for fuzzy set aggregation
Fuzzy Sets and Systems - Special issue: Aggregation and best choices of imprecise opinions
Ranking fuzzy interval numbers in the setting of random sets
Information Sciences: an International Journal
Fuzzy sets and decision analysis
Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
Using Yager's t-norms for aggregation of fuzzy intervals
Fuzzy Sets and Systems
Compensatory fuzzy multiple level decision making
Fuzzy Sets and Systems
ASA and its application to multi-criteria decision making (case study)
Fuzzy Sets and Systems
A fuzzy approach to select the location of the distribution center
Fuzzy Sets and Systems
Reasonable properties for the ordering of fuzzy quantities (II)
Fuzzy Sets and Systems
A context-dependent method for ordering fuzzy numbers using probabilites
Information Sciences—Informatics and Computer Science: An International Journal
A Constructive Numerical Method for the Comparison of Intervals
PPAM '01 Proceedings of the th International Conference on Parallel Processing and Applied Mathematics-Revised Papers
Facility location selection using fuzzy topsis under group decisions
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
A preference aggregation method through the estimation of utility intervals
Computers and Operations Research
A two phase multi-attribute decision-making approach for new product introduction
Information Sciences: an International Journal
Information Sciences: an International Journal
An interval arithmetic based fuzzy TOPSIS model
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Two-objective method for crisp and fuzzy interval comparison in optimization
Computers and Operations Research
Decisions and evaluations by hierarchical aggregation of information
Fuzzy Sets and Systems
Information Sciences: an International Journal
Structured methodology for supplier selection and evaluation in a supply chain
Information Sciences: an International Journal
Soft Computing in Economics and Finance
Soft Computing in Economics and Finance
Expert Systems with Applications: An International Journal
Evaluation model of business intelligence for enterprise systems using fuzzy TOPSIS
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Simulation based fuzzy TOPSIS approach for group multi-criteria supplier selection problem
Engineering Applications of Artificial Intelligence
User preferences based software defect detection algorithms selection using MCDM
Information Sciences: an International Journal
Improved hierarchical fuzzy TOPSIS for road safety performance evaluation
Knowledge-Based Systems
Mathematical and Computer Modelling: An International Journal
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
Review: A state-of the-art survey of TOPSIS applications
Expert Systems with Applications: An International Journal
Fuzzy extension of TOPSIS model for group decision making under multiple criteria
Artificial Intelligence Review
Linguistic multi-criteria decision making for energy and environmental corporate policy
Information Sciences: an International Journal
A fuzzy integral-based model for supplier evaluation and improvement
Information Sciences: an International Journal
Information Sciences: an International Journal
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The TOPSIS method is a technique for establishing order preference by similarity to the ideal solution, and was primarily developed for dealing with real-valued data. This technique is currently one of most popular methods for Multiple Criteria Decision Making (MCDM). In many cases, it is hard to present precisely exact ratings of alternatives with respect to local criteria and as a result these ratings are seen as fuzzy values. A number of papers have been devoted to fuzzy extensions of the TOPSIS method in the literature, but these extensions are not complete since the ideal solutions are usually presented as real values (not by fuzzy values) or as fuzzy values which are not attainable in the decision matrix. In most of these papers, a defuzzification of elements of the fuzzy decision matrix is used, which leads inevitably to a loss of important information and may even produce the wrong results. In this paper, we propose a new direct approach to the fuzzy extension of the TOPSIS method which is free of the limitations of other known approaches. We show that the distances of the alternatives from the ideal solutions may be treated (in some sense) as modified weighted sums of local criteria. It is known that using weighted sums is not the best approach to the aggregation of local criteria in many real-world situations. Therefore, here, we propose the use, in addition to weighted sums, some other types of local criteria aggregation in the TOPSIS method and we develop a method for the generalization of different aggregation modes, providing compromised final results.