Fuzzy sets, decision making and expert systems
Fuzzy sets, decision making and expert systems
Multicriteria decision analysis with fuzzy pairwise comparisons
Fuzzy Sets and Systems
Group decision making and consensus under fuzzy preferences and fuzzy majority
Fuzzy Sets and Systems - Special issue dedicated to Professor Claude Ponsard
Discrete mathematics with applications
Discrete mathematics with applications
A model of consensus in group decision making under linguistic assessments
Fuzzy Sets and Systems
Aggregation of fuzzy opinions under group decision making
Fuzzy Sets and Systems
Fuzzy credibility relation method for multiple criteria decision-making problems
Information Sciences: an International Journal
Extensions of the TOPSIS for group decision-making under fuzzy environment
Fuzzy Sets and Systems
Generalizing TOPSIS for fuzzy multiple-criteria group decision-making
Computers & Mathematics with Applications
International Journal of Computer Mathematics
Group consensus algorithms based on preference relations
Information Sciences: an International Journal
Support managers' selection using an extension of fuzzy TOPSIS
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Fuzzy TOPSIS for group decision making: A case study for accidents with oil spill in the sea
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
An OWA-TOPSIS method for multiple criteria decision analysis
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A new method of obtaining the priority weights from an interval fuzzy preference relation
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Implementation of a hybrid fuzzy system as a decision support process: A FAHP-FMCDM-FIS composition
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
A fuzzy multi-criteria decision making model for the selection of the distribution center
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III
Information Sciences: an International Journal
A new incomplete preference relations based approach to quality function deployment
Information Sciences: an International Journal
Mathematical and Computer Modelling: An International Journal
A dynamic consensus scheme based on a nonreciprocal fuzzy preference relation modeling
Information Sciences: an International Journal
Review: A state-of the-art survey of TOPSIS applications
Expert Systems with Applications: An International Journal
A fuzzy TOPSIS model via chi-square test for information source selection
Knowledge-Based Systems
The ordinal consistency of a fuzzy preference relation
Information Sciences: an International Journal
A direct interval extension of TOPSIS method
Expert Systems with Applications: An International Journal
An approach to generalization of fuzzy TOPSIS method
Information Sciences: an International Journal
Information Sciences: an International Journal
Distance-based consensus models for fuzzy and multiplicative preference relations
Information Sciences: an International Journal
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Generally, classical multi-criteria decision-making (MCDM) methods were extended to encompass uncertainty and vagueness of messages under fuzzy environment for solving decision-making problems, especially for technique for order preference by similarity to ideal solution (TOPSIS). In the fuzzy extension of TOPSIS, fuzzy numbers comparison and aggregation based on fuzzy preference relation are important issues to compute distance values between alternatives and ideal (or anti-ideal) solution or rank feasible alternatives, because lots of messages are reserved by fuzzy preference relation. However, fuzzy preference relation on pair-wise comparison is commonly too complex to calculate. To avoid the drawback, we use a relative preference relation improved from fuzzy preference relation in the fuzzy extension of TOPSIS for computing distance values between alternatives and ideal (or anti-ideal) solution, or obtaining relative closeness coefficients of alternatives. Thus the relative preference relation on fuzzy numbers will be associated with TOPSIS under fuzzy environment to develop a fuzzy multi-criteria decision-making (FMCDM) model. Through the association above, FMCDM problems can be easily solved by the model. Further, we compare the proposed model with other methods to demonstrate the model's feasibility and rationality.