A Consensus Model for Group Decision Making with Hesitant Fuzzy Information

This article presents a more improved consensus-based method for dealing with multi-person decision making (MPDM) that uses hesitant fuzzy preference relations (HFPRís) arenít in the usual format. We proposed Lukasiewicz transitivity (TL-transitivity)-based technique establishing normalised (NHFPRís) at most essential level, after that, model based on consensus is constructed. After transitive closure formula created order to build TL -consistent and symmetrical matrices. Afterwards, consistency analysis performed determine degree of data given by makers (DMs), as result, weights must be assigned them. combining preset(predeÖned) priority weights, Önal vector DMs obtained (if there are any). The process determines either selection suitable alternative should done directly or externally. enhancement aims improve DMís measure, despite implementation an indicator locating sluggish points, circumstance unfavorable agreement achieved. Finally, comparison case demonstrates relevance e§ectiveness system. conclusions indicate suggested strategy can provide insight into MPDM