An Interactive Signed Distance Approach for Multiple Criteria Group Decision-Making Based on Simple Additive Weighting Method with Incomplete Preference Information Defined by Interval Type-2 Fuzzy Sets

摘要: Interval type-2 fuzzy sets (T2FSs) with interval membership grades are suitable for dealing imprecision or uncertainties in many real-world problems. In the context, aim of this paper is to develop an interactive signed distance-based simple additive weighting (SAW) method solving multiple criteria group decision-making problems linguistic ratings and incomplete preference information. This first formulates a problem uncertain variables their transformation trapezoidal numbers. Concerning relative importance decision-makers consensus opinions, procedure using hybrid averages then employed construct collective decision matrix. By appropriate extension classical SAW approach, utilizes concept distances establishes integrated programming model manage multi-criteria decisions under inconsistent structure. Further, established making. Finally, feasibility effectiveness proposed methods illustrated by collaborative patient-centered care (PCC).