Heterogeneous Group Decision Making Models Under Linguistic Assessment

Multi criteria group decision making (MCGDM) methods are broadly used in the real-world decision circumstances for homogeneous groups. In this book, heterogeneous group decision making models under fuzzy environment for multi-dimensional personnel evaluation were proposed to compensate the differences of decision makers’ knowledge such as: education, expertise, experience and other aspects. A new fuzzy group decision making method was developed under the linguistic framework for heterogeneous group decision making that aims at a desired consensus. Besides, the classical ordinal approach method under a linguistic framework is developed for heterogeneous group decision making, which allows group members to express their fuzzy preferences in linguistic terms for alternative selection and for individual judgments. Furthermore, a fuzzy extension of technique for order preference by similarity to ideal solution (TOPSIS) method under fuzzy environment was proposed. In order to solve the problem of discrepancy between decision making methods’ results, a new optimization method was developed, to aggregate the results’ of different decision making models.