A Consensus Reaching Support System Based on the Concepts of an Ideal and Anti-Ideal Agent and Option

摘要: We present an extension of our previous works on a moderator run consensus reaching process in small group autonomous decision makers (agents). Our approach is based fuzzy preferences meant as the testimonies provided by agents, majority represented linguistic quantifiers Kacprzyk’s sense, some soft measure consensus, proposed Kacprzyk and Fedrizzi, that degree to which: “most agents agree with their most options”, Zadrozny’s ideas support system for reaching, use additional information expressed summaries equated linguistically quantified propositions. Emphasis running moderator. To help effective efficient way, we apply higher-level information, notably form data Zadrozny. Here, extend new concept ideal anti-ideal agent option, though will concentrate case it more intuitively appealing than option. The, TOPSIS method was first outlined context Golunska, Zadrozny which boils down determination solution longest distance from shortest one. The improvement obtaining higher within using enhanced moderated illustrated numerical example.