2007
DOI: 10.1142/s0218488507004509
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Fuzzy Linmap Method for Multiattribute Group Decision Making With Linguistic Variables and Incomplete Information

Abstract: The aim of this paper is to develop a fuzzy linear programming technique for multidimensional analysis of preference (FLINMAP) in multiattribute group decision making problems with linguistic variables and incomplete preference information. In this paper, linguistic variables are used to assess an alternative on qualitative attributes using fuzzy ratings corresponding to some triangular fuzzy numbers. Each alternative is assessed on the basis of its distance to a fuzzy positive ideal solution (FPIS) which is u… Show more

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Cited by 43 publications
(19 citation statements)
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“…The proposed approach enables decision makers to select OoSaware services from the marketplace. In the multiple attribute decision-making applications, our approach is a complement way to the extension works of Srinivasan and Shocker (1973) and Li and Sun (2007). Table 10 The optimal solution of Simplex method for rating of decision maker d3.…”
Section: Resultsmentioning
confidence: 99%
“…The proposed approach enables decision makers to select OoSaware services from the marketplace. In the multiple attribute decision-making applications, our approach is a complement way to the extension works of Srinivasan and Shocker (1973) and Li and Sun (2007). Table 10 The optimal solution of Simplex method for rating of decision maker d3.…”
Section: Resultsmentioning
confidence: 99%
“…(ii) LPRs based on virtual linguistic term sets [42,85]; and (iii) LPRs based on a cardinal approach [47,68].…”
Section: Managing Missing Preference Values In Lprsmentioning
confidence: 99%
“…In this subsection we present the methodologies classified depending on the linguistic frameworks they use: (i) 2-tuple LPRs [35], [41], [42]; (ii) LPRs based on virtual linguistic term sets [43], [44]; and (iii) LPRs based on a cardinal approach [45], [25].…”
Section: Managing Missing Preference Values In Lprsmentioning
confidence: 99%
“…(iii) LPRs based on a cardinal approach. a) Li et al [45] propose an extension of the well known LINMAP method [48] to deal with decision making problems with fuzzy linguistic information. Each alternative is assessed on the basis of its distance to a fuzzy positive ideal solution (FPIS) which is unknown, using a new method to calculate the distance between trapezoidal fuzzy number scores.…”
Section: Managing Missing Preference Values In Lprsmentioning
confidence: 99%