Interval valued fuzzy sets based on normal forms
Fuzzy Sets and Systems
Group decision making with a fuzzy linguistic majority
Fuzzy Sets and Systems
A method for inference in approximate reasoning based on interval-valued fuzzy sets
Fuzzy Sets and Systems
Interval-valued fuzzy sets and “compensatory AND”
Fuzzy Sets and Systems
Interval valued strict preference with Zadeh triples
Fuzzy Sets and Systems - Special issue on fuzzy multiple criteria decision making
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy credibility relation method for multiple criteria decision-making problems
Information Sciences: an International Journal
A model and algorithm of fuzzy product positioning
Information Sciences—Informatics and Computer Science: An International Journal
Extensions of the TOPSIS for group decision-making under fuzzy environment
Fuzzy Sets and Systems
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
Fuzzy revenue for fuzzy demand quantity based on interval-valued fuzzy sets
Computers and Operations Research
Some algebraic properties and a distance measure for interval-valued fuzzy numbers
Information Sciences—Applications: An International Journal
Defuzzification within a multicriteria decision model
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Evaluation of software development projects using a fuzzy multi-criteria decision approach
Mathematics and Computers in Simulation
The interval-valued fuzzy TOPSIS method and experimental analysis
Fuzzy Sets and Systems
Fuzzy risk analysis based on interval-valued fuzzy numbers
Expert Systems with Applications: An International Journal
Extension of fuzzy TOPSIS method based on interval-valued fuzzy sets
Applied Soft Computing
A fuzzy MCDM approach for evaluating banking performance based on Balanced Scorecard
Expert Systems with Applications: An International Journal
Group decision making process for supplier selection with VIKOR under fuzzy environment
Expert Systems with Applications: An International Journal
A method based on distance measure for interval-valued intuitionistic fuzzy group decision making
Information Sciences: an International Journal
Fuzzy filter based on interval-valued fuzzy sets for image filtering
Fuzzy Sets and Systems
Using fuzzy MCDM to select partners of strategic alliances for liner shipping
Information Sciences: 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
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A new method selection approach for fuzzy group multicriteria decision making
Applied Soft Computing
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This study presented a new performance evaluation method for tackling fuzzy multicriteria decision-making (MCDM) problems based on combining VIKOR and interval-valued fuzzy sets. The performance evaluation problem often exists in complex administrative processes in which multiple evaluation criteria, subjective/objective assessments and fuzzy conditions have to be taken into consideration simultaneously in management. Here, the subjective, imprecise, inexact and uncertain evaluation processes are modeled as fuzzy numbers by means of linguistic terms, as fuzzy theory can provide an appropriate tool to deal with such uncertainties. However, the presentation of linguistic expressions in the form of ordinary fuzzy sets is not clear enough [15,21]. Interval-valued fuzzy sets can provide more flexibility [4,14] to represent the imprecise/vague information that results, and it can also provide a more accurate modeling. This paper presents the interval-valued fuzzy VIKOR, which aims to solve MCDM problems in which the weights and performances of criteria are unequal by using the concepts of interval-valued fuzzy sets. A case study for evaluating the performances of three major intercity bus companies from an intercity public transport system is conducted to illustrate the effectiveness of the method.