Linguistic summarization of some static and dynamic features of consensus reaching

Computational Intelligence, Theory and Applications: International Conference 9th Fuzzy Days in Dortmund, Germany, Sept. 18-20, 2006 Proceedings

Volumn , Issue , 2006, Pages 19-28

  Kacprzyk, Janusz ^a   Zadrozzny, Slawomir ^b   Wilbik, Anna ^c  

^a SYSTEMS RESEARCH INSTITUTE   (Poland)

^b Warsaw Information Technology WIT   (Poland)

^c NONE

Author keywords

Consensus reaching; Fuzzy majority; Fuzzy preferences; Fuzzy quantifiers; Linguistic data summary; Linguistic summarization of times series

Indexed keywords

EID: 58049177326     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/3-540-34783-6_4     Document Type: Chapter

References (36)

1. Delgado M, Verdegay JL, Vila MA (1993) On aggregation operations of linguistic labels. International Journal of Intelligent Systems 8:351-370
2. Fedrizzi M, Kacprzyk J (1988) On measuring consensus in the setting of fuzzy preference relations. In [19], pp 129-141
3. Fedrizzi M, Kacprzyk J (1993) Consensus degrees under fuzzy majorities and preferences using OWA (ordered weighted average) operators. In: Proceedings of Fifth IFSA World Congress, Seoul, Korea, 1993, vol. I, pp 624-626
4. Fedrizzi M, Kacprzyk J, Owsiński JW, Zadrożny S (1994) Consensus reaching via a GDSS with fuzzy majority and clustering of preference profiles. Annals of Operations Research 51:127-139
5. Fedrizzi M, Kacprzyk J, Zadrożny S (1989) An interactive multi-user decision support system for consensus reaching processes using fuzzy logic with linguistic quantifiers. Decision Support Systems 4:313-327
6. Herrera F, Verdegay JL (1995) On group decision making under linguistic preferences and fuzzy linguistic quantifiers. In: Bouchon-Meunier B, Yager RR, Zadeh LA (eds) Fuzzy logic and soft computing. World Scientific, Singapore, pp 173-180
7. Herrera F, Herrera-Viedma E, Verdegay JL (1996) A model of consensus in group decision making under linguistic assessments. Fuzzy Sets and Systems 78:73-88
8. Herrera F, Herrera-Viedma E, Verdegay JL (1997) Applications of the linguistic OWA operators in group decision making. In Yager RR, Kacprzyk J (eds) The ordered weighted averaging operators. Theory and applications. Kluwer, Boston, pp 205-218
9. Kacprzyk J (1987) On some fuzzy cores and 'soft' consensus measures in group decision making. In: Bezdek JC (ed) The analysis of fuzzy information. vol. 2, CRC, Boca Raton, pp 119-130
10. Kacprzyk J, Fedrizzi M (1986) 'Soft' consensus measures for monitoring real consensus reaching processes under fuzzy preferences. Control and Cybernetics 15:309-323
11. Kacprzyk J, Fedrizzi M (1988) A 'soft' measure of consensus in the setting of partial (fuzzy) preferences. European Journal of Operational Research 34:315-325
12. Kacprzyk J, Fedrizzi M (1989) A 'human-consistent' degree of consensus based on fuzzy logic with linguistic quantifiers. Mathematical Social Sciences 18:275-290
13. Kacprzyk J, Fedrizzi M (eds) (1990) Multiperson decision making models using fuzzy sets and possibility theory. Kluwer, Dordrecht
14. Kacprzyk J, Fedrizzi M (1995) A fuzzy majority in group DM and consensus via the OWA operators with importance qualification. In: Proceedings of CIFT'95 - Current Issues in Fuzzy Technologies, Trento, Italy, pp 128-137
15. Kacprzyk J, Fedrizzi M (1995) Consensus degrees under fuzziness via ordered weighted average (OWA) operators. In: Bien Z, Min KC (eds) Fuzzy logic and its applications in engineering, information sciences and intelligent systems. Kluwer, Dordrecht, pp 447-454
16. Kacprzyk J, Fedrizzi M, Nurmi H (1990) Group decision making with fuzzy majorities represented by linguistic quantifiers. In: Verdegay JL, Delgado M (eds) Approximate reasoning tools for artificial intelligence. Verlag TÜV Rheinland, Cologne, pp 126-145
17. Kacprzyk J, Fedrizzi M, Nurmi H (1992) Fuzzy logic with linguistic quantifiers in group decision making and consensus formation. In: Yager RR, Zadeh LA (eds) An introduction to fuzzy logic applications in intelligent systems. Kluwer, Dordrecht, pp 263-280
18. Kacprzyk J, Fedrizzi M, Nurmi H (1992) Group decision making and consensus under fuzzy preferences and fuzzy majority. Fuzzy Sets and Systems 49:21-31
19. Kacprzyk J, Roubens M (eds) (1988) Non-conventional preference relations in decision making. Springer, Berlin Heidelberg New York
20. Kacprzyk J, Yager RR (2001) Linguistic summaries of data using fuzzy logic. International Journal of General Systems 30:33-154
21. Kacprzyk J, Yager RR, Zadrożny S (2000) A fuzzy logic based approach to linguistic summaries of databases. International Journal of Applied Mathematics and Computer Science 10:813-834
22. Kacprzyk J, Zadrożny S (2001) Computing with words in decision making through individual and collective linguistic choice rules. International Journal of Uncertainty Fuzziness and Knowledge Based Systems 9:89-102
23. Kacprzyk J, Zadrożny S (2000) A fuzzy consensus reaching system and its WWW browser based implementation. In: Proceedings of the 8th International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems (IPMU 2000), Madrid, 3-7 July 2000, Universidad Politecnica de Madrid, pp 1454-1461
24. Kacprzyk J, Zadrożny S (2002) A group decision support system based on linguistic multicriteria assessments. In: Bouchon-Meunier B, Gutierrez-Rios J, Magdalena L, Yager RR (eds) Technologies for constructing intelligent systems 1. Physica, Heidelberg, pp 139-152
25. Kacprzyk J, Zadrożny S (2002) Collective choice rules in group decision making under fuzzy preferences and fuzzy majority: a unified OWA operator based approach. Control and Cybernetics 31(4):937-948
26. Kacprzyk J, Zadrożny S (2003) An Internet-based group decision support system. Management, vol VII, 28:4-10
27. Kacprzyk J, Zadrożny S (2004) Linguistically quantified propositions for consensus reaching support. In: Proceedings of the IEEE International Conference on Fuzzy Systems 2004, Budapest, Hungary, 25-29 July 2004, pp 1135-1140
28. Kacprzyk J, Zadrożny S (2005) Fuzzy linguistic data summaries as a human consistent, user adaptable solution to data mining. In: Gabrys B, Leiviska K, Strackeljan J (eds) Do smart adaptive systems exist? Best practice for selection and combination of intelligent methods. Springer, Heidelberg New York
29. Kacprzyk J, Zadrożny S, Fedrizzi M (1988) An interactive user-friendly decision support system for consensus reaching based on fuzzy logic with linguistic quantifiers. In: Gupta MM, Yamakawa T (eds) Fuzzy computing. Elsevier, Amsterdam, pp 307-322
30. Loewer B (1985) Guest Ed. Special Issue on Consensus. Synthese 62 (1)
31. Loewer B, Laddaga R (1985) Destroying the consensus. Synthese 62(1):79-96
32. Sen AK (1970) Collective choice and social welfare. Oliver & Boyd, Edinburgh
33. Yager RR (1982) A new approach to the summarization of data. Information Sciences 28:69-86
34. Yager RR, Kacprzyk J (eds) (1997) The ordered weighted averaging operators: theory and applications. Kluwer, Boston
35. Zadeh LA (1983) A computational approach to fuzzy quantifiers in natural languages. Computers and Mathematics with Applications 9:149-184
36. Zadrożny S (1997) An approach to the consensus reaching support in fuzzy environment. In: Kacprzyk J, Nurmi H, Fedrizzi M (eds) Consensus under fuzziness, Kluwer, Boston, pp 83-109