Different aspects of supporting group consensus reaching process under fuzziness

• Autorzy: Falkiewicz D. , Kacprzyk J.

Warianty tytułu

PL

Różnorodne aspekty wspierania procesu osiągania konsensusu w grupie w warunkach rozmytości

• Języki publikacji: EN

Abstrakty

EN

In this paper we present human-consistent approach of multi-model consensus reaching process supporting by group decision support systems. We consider the idea developed by Kacprzyk and Zadrożny [9, 10, 12] which is related to the “soft” consensus, and where the core of the system is based on fuzzy logic. Essentially, we attempt to stress the multi-model architecture of considering system and distinguish several aspects, i.e. model of agent, model of moderator, model of consensus achievement. Moreover, we present a novel concept based on fair consensus as a meaningful point of further development.

PL

W niniejszym artykule zaprezentowano wybrane aspekty złożonego procesu osiągania konsensusu nadzorowanego przez systemy wspierające podejmowanie decyzji w grupie. Rozważono ideę opracowaną przez Kacprzyka i Zadrożnego [9, 10, 12] powiązaną z terminem „miękkiego” konsensus, opartą na logice rozmytej. Przedstawiono złożoną architekturę rozważanego systemu oraz rozróżniono w nim kilka aspektów, tj. model agenta, model moderatora, model osiągania konsensusu. Ponadto, zaprezentowano nową koncepcję opartą na sprawiedliwym konsensusie jako punkt wyjścia dla dalszych badań.

Słowa kluczowe

EN

soft consensus; decision support systems; consensus reaching process; fairness

PL

miękki konsensus; systemy wspierające podejmowania decyzji; proces osiągania konsensusu; sprawiedliwość

• Wydawca: Wydawnictwo Politechniki Krakowskiej im. Tadeusza Kościuszki
• Czasopismo: Czasopismo Techniczne. Automatyka
• Rocznik: 2012
• Tom: R. 109, z. 1-AC
• Strony: 17--27
• Opis fizyczny: Bibliogr. 21 poz., rys., wz.

Twórcy

autor

Falkiewicz D.

• Katedra Automatyki i Technik Informacyjnych, Wydział Inżynierii Elektrycznej i Komputerowej, Politechnika Krakowska

autor

Kacprzyk J.

• Katedra Automatyki i Technik Informacyjnych, Wydział Inżynierii Elektrycznej i Komputerowej, Politechnika Krakowska
• Instytut Badań Systemowych, Polska Akademia Nauk

Bibliografia

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• [5] Kacprzyk J., Multistage Decision Making in Fuzzy Conditions (in Polish), PWN,Warsaw 1983.
• [6] Kacprzyk J., Fedrizzi M., A ‘human-consistent’ degree of consensus based on fuzzy logic with linguistic quantifiers, Mathematical Social Sciences, vol. 18, 1989, 275-290.
• [7] Kacprzyk J., Fedrizzi M, A ‘soft’ measure of consensus in the setting of partial (fuzzy) preferences, European Journal of Operational Research, vol. 34, 1988, 315-325.
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• [18] What is a Group Decision Support System (GDSS)?, Decision Support Systems Resources, http://www.dssresources.com/ (date of access: 10.07.2012).
• [19] Yager R.R., Linguistic summaries as a tool for database discovery, FUZZ-IEEE’95/IFES’95, Workshopon Fuzzy Database Systems and Information Retrieval, 1995, 79-82.
• [20] Yager R.R., On ordered weighted averaging operators in multicriteria decision making, IEEE Transactions on Systems, Man and Cybernetics, SMC-18, 1988, 183-190.
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Uwagi

EN

Dominika Falkiewicz’s contribution is partially supported by the Foundation for Polish Science under International PhD Projects in Intelligent Computing. Project financed from The European Union within the Innovative Economy Operational Programme 2007–2013 and European Regional Development Fund.