The mean value of a fuzzy number
Fuzzy Sets and Systems - Fuzzy Numbers
The expected value of a fuzzy number
Fuzzy Sets and Systems
Ranking fuzzy numbers with integral value
Fuzzy Sets and Systems
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy set theory—and its applications (3rd ed.)
Fuzzy set theory—and its applications (3rd ed.)
Multiobjective linguistic optimization
Fuzzy Sets and Systems - Special issue on soft decision analysis
Reasonable properties for the ordering of fuzzy quantities (I)
Fuzzy Sets and Systems
Reasonable properties for the ordering of fuzzy quantities (II)
Fuzzy Sets and Systems
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems - Optimisation and decision
Fuzzy linear programming technique for multiattribute group decision making in fuzzy environments
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Informatics and computer science intelligent systems applications
Information Sciences—Informatics and Computer Science: An International Journal
An approach to fuzzy multiattribute decision making under uncertainty
Information Sciences: an International Journal
Fuzzy LINMAP method for multiattribute decision making under fuzzy environments
Journal of Computer and System Sciences
The revised method of ranking fuzzy numbers with an area between the centroid and original points
Computers & Mathematics with Applications
Fuzzy Optimization and Decision Making
A new approach for ranking of trapezoidal fuzzy numbers
Computers & Mathematics with Applications
On the centroids of fuzzy numbers
Fuzzy Sets and Systems
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Although crisp data are fundamentally indispensable in the conventional linear programming technique for multidimensional analysis of preference LINMAP, the observed values in the real-world problems are often imprecise or vague. These imprecise or vague data can be suitably characterized by linguistic terms which are fuzzy in nature. LINMAP has been widely used to solve multi-attribute decision making MADM problems. This paper extends the conventional LINMAP model to a fuzzy group decision making framework using trapezoidal fuzzy numbers. The ranking approach is used to transform the fuzzy model into a crisp model. The fuzzy LINMAP method proposed in this paper is a simple and effective tool for tackling the uncertainty and imprecision associated with the group MADM problems. A case study in fast food industry is presented to demonstrate the applicability of the proposed framework and exhibit the efficacy of the procedures.