Independence of irrelevant alternatives and fuzzy Arrow's theorem

John N. Mordeson, Michael B. Gibilisco, Terry D. Clark

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

The literature involving fuzzy Arrow results uses the same independence of irrelevant alternatives condition. We introduce three other types of independence of irrelevant alternative conditions and show that they can be profitably used in the examination of Arrow's theorem. We also generalize some known nondictatorship results. One known fuzzy aggregation rule that is nondictatorial is the average of the individual preferences. We show that a weighted average is also nondictatorial. Moreover, it is not an automorphic image of the ordinary average, which demonstrates that we have proposed a framework unique from the present known results.

Original languageEnglish
Pages (from-to)219-237
Number of pages19
JournalNew Mathematics and Natural Computation
Volume8
Issue number2
DOIs
StatePublished - Jul 2012

Fingerprint

Agglomeration
Alternatives
Theorem
Weighted Average
Aggregation
Generalise
Demonstrate
Independence
Framework

All Science Journal Classification (ASJC) codes

  • Applied Mathematics
  • Computational Mathematics
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Human-Computer Interaction

Cite this

Independence of irrelevant alternatives and fuzzy Arrow's theorem. / Mordeson, John N.; Gibilisco, Michael B.; Clark, Terry D.

In: New Mathematics and Natural Computation, Vol. 8, No. 2, 07.2012, p. 219-237.

Research output: Contribution to journalArticle

Mordeson, John N. ; Gibilisco, Michael B. ; Clark, Terry D. / Independence of irrelevant alternatives and fuzzy Arrow's theorem. In: New Mathematics and Natural Computation. 2012 ; Vol. 8, No. 2. pp. 219-237.
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