MCMD problems with fuzzy preference information on alternatives are essential problems of the importance of weighting and ranking. In this study, the AHP method is reviewed, and then Fuzzy PreRa and incomplete linguistic preference relations methods are elucidated. This study applied above three MCDM methods to a software selection problem proposed by Lai et al. [Software selection: a case stud...

In this paper a Sequential Selection Process in Group Decision Making under linguistic assessments is presented, where a set of linguistic preference relations represents individuals preferences. A collective linguistic preference is obtained by means of a deened linguistic ordered weighted averaging operator whose weights are chosen according to the concept of fuzzy majority, speciied by a fuz...

Consistency has always been a hot topic in the study of decision-making based on preference relations. This paper focuses consistency hesitant fuzzy linguistic relations (HFLPRs). Firstly, new definition additive HFLPRs is given. Secondly, to examine whether an HFLPR additively consistent, two equivalent programming models are constructed. Thirdly, for inconsistent HFLPRs, corresponding improve...

When dealing with multi-criteria decision making problems, the concept of Pareto-optimality and Pareto-dominance may be inefficient (e.g. generally multiple solutions exist), especially when there is a large number of criteria. Our paper considers the fuzzy multi-criteria decision making problem based on Zadeh’s linguistic approach to P-optimality and P-dominance. The construction, analysis and...

Sometimes, an individual may have vague information about the preference degree between two alternatives and can not estimate his preferences with an exact numerical value. Then, a possible approach is to use linguistic assessments instead of numerical values, that is, to suppose that the preference relations are assessed by means of linguistic terms. A scale of certainty expressions, linguisti...

Selecting an appropriate transportation company is an important decision for an effective supply chain. This study attempts to solve transportation company selection problems initially addressed by Kulak and Kahraman in 2005, by adopting two methods. Consistent fuzzy preference relations presented by Herrera-Viedma et al. and fuzzy linguistic preference relations (fuzzy LinPreRa) developed by W...

We propose a general scheme of collective choice rule that covers a number of well-known rules. Our point of departure is, first, the set of fuzzy preference relations, and second, the linguistic aggregation rule proposed by Kacprzyk [2-4]. We reconsider this rule on a more abstract level and use the OWA operators instead of Zadeh’s fuzzy linguistic quantifiers. All collective choice rules from...