A fuzzy group linear programming technique for multidimentional analysis of preference

Adel Hatami-Marbini, Madjid Tavana, Saber Saati, Fatemeh Kangi

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)723-735
Number of pages13
JournalJournal of Intelligent and Fuzzy Systems
Issue number3
Publication statusPublished - 2013
Externally publishedYes


Dive into the research topics of 'A fuzzy group linear programming technique for multidimentional analysis of preference'. Together they form a unique fingerprint.

Cite this