Abstract
The rational choice model developed for economics has been adopted by the political science communtity. Unfortunately the rational choice model does not seem to be as applicable to political situations as it is to economic situations. Reasonable models lead to undesirable conclusions, as exemplified by Arrows theorem, which uses for reasonable axioms to conclude that dictatorship is inevitable. Of course, the axioms used have come under comprehensive analysis, and weaknesses have been shown, however, none of the axioms are blatantly unrealistic. Most are quite reasonable. Researchers have tried using fuzzy rational choice functions to get around Arrow, to produce a model of choice that is reasonable but non-dictatorial. However, the methodology used is often straightforward fuzzification of crisp concepts. This paper argues that these concepts really do not translate as well as one would like.
| Original language | English |
|---|---|
| Title of host publication | 2012 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2012 |
| DOIs | |
| State | Published - 2012 |
| Event | 2012 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2012 - Berkeley, CA, United States Duration: Aug 6 2012 → Aug 8 2012 |
Other
| Other | 2012 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2012 |
|---|---|
| Country | United States |
| City | Berkeley, CA |
| Period | 8/6/12 → 8/8/12 |
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All Science Journal Classification (ASJC) codes
- Information Systems
- Applied Mathematics
Cite this
A critique of fuzzy rational choice models. / Wierman, Mark J.; Clark, Terry D.; Mordeson, John N.; Tastle, William J.
2012 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2012. 2012. 6291006.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A critique of fuzzy rational choice models
AU - Wierman, Mark J.
AU - Clark, Terry D.
AU - Mordeson, John N.
AU - Tastle, William J.
PY - 2012
Y1 - 2012
N2 - The rational choice model developed for economics has been adopted by the political science communtity. Unfortunately the rational choice model does not seem to be as applicable to political situations as it is to economic situations. Reasonable models lead to undesirable conclusions, as exemplified by Arrows theorem, which uses for reasonable axioms to conclude that dictatorship is inevitable. Of course, the axioms used have come under comprehensive analysis, and weaknesses have been shown, however, none of the axioms are blatantly unrealistic. Most are quite reasonable. Researchers have tried using fuzzy rational choice functions to get around Arrow, to produce a model of choice that is reasonable but non-dictatorial. However, the methodology used is often straightforward fuzzification of crisp concepts. This paper argues that these concepts really do not translate as well as one would like.
AB - The rational choice model developed for economics has been adopted by the political science communtity. Unfortunately the rational choice model does not seem to be as applicable to political situations as it is to economic situations. Reasonable models lead to undesirable conclusions, as exemplified by Arrows theorem, which uses for reasonable axioms to conclude that dictatorship is inevitable. Of course, the axioms used have come under comprehensive analysis, and weaknesses have been shown, however, none of the axioms are blatantly unrealistic. Most are quite reasonable. Researchers have tried using fuzzy rational choice functions to get around Arrow, to produce a model of choice that is reasonable but non-dictatorial. However, the methodology used is often straightforward fuzzification of crisp concepts. This paper argues that these concepts really do not translate as well as one would like.
UR - http://www.scopus.com/inward/record.url?scp=84867705942&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84867705942&partnerID=8YFLogxK
U2 - 10.1109/NAFIPS.2012.6291006
DO - 10.1109/NAFIPS.2012.6291006
M3 - Conference contribution
SN - 9781467323376
BT - 2012 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2012
ER -