Consensus under fuzziness
Janusz Kacprzak, Hannu Nurmi, Mario Fedrizzi
Kluwer Academic Publishers, 1997 - Business & Economics - 303 pages
This work focuses on consensus formation in multiperson decision-making groups using imprecise information. The editors have solicited and organized important contributions on this subject from leading experts in the field. The well-known contributors include Ronald Yager, Henri Prade, George Klier, and Janos Fodor, among others. These contributions are original and are concerned with issues related to modeling and monitoring of consensus-reaching processes under fuzzy preferences and fuzzy majorities. The chapters include an array of paradigms, tools and techniques that can help develop new analytical tools for consensus-reaching processes.
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NEW PARADIGMS AND ARCHITECTURES FOR MODELING
Fuzziness and the normative theory of social choice
Types and measures of uncertainty
13 other sections not shown
alternative linguistic approach assume belief function binary relation calculated choice function Choquet integral coincidence degrees computed concept conflict consensus function consensus reaching process considered convergence cooperative game criteria decision problem decision theory default referee defined degree of agreement degree of consensus Dempster-Shafer theory denotes Dubois exact expressed formally fuzzy coalitions fuzzy coincidence fuzzy linguistic quantifier fuzzy logic fuzzy majority fuzzy preference relations fuzzy set theory fuzzy subsets G. J. Klir given group decision GSRR individual preferences Kacprzyk linguistic consensus degree linguistic preference LOWA operator measure of fuzziness membership function negotiation non-exact nonspecificity nucleolus Nurmi obtained opinions options ordered weighted averaging pairs of alternatives pairs of experts Pattanaik positive weight possibility distribution Possibility Theory probability measure problem proposed Research respect Section Sets and Systems Shannon entropy social choice social evaluation social preferences solution t-conorms t-norm utility function values votes Yager Zadeh