학제간연구 | Interdisciplinary Studies in Gambling | 跨学科研究
- date : 2015-05-20 01:10|hit : 1470
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- Article] Ranking discrete outcome alternatives with partially quantified uncertainty
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DocNo of ILP: 3966
Doc. Type: Article
Title: Ranking discrete outcome alternatives with partially quantified uncertainty
Authors: Tenekedjiev, KI; Nikolova, ND
Full Name of Authors: Tenekedjiev, Kiril I.; Nikolova, Natalia D.
Keywords by Author: fuzzy rationality; expected utility; laplace; wald; Hurwicz(alpha) criteria
Keywords Plus: FUZZY SET-THEORY; IMPRECISE PROBABILITIES; SUBJECTIVE-PROBABILITY; EVENTS
Abstract: Real decision makers (DM) partially quantify uncertainty as probability uncertainty intervals. Then alternatives are modeled as fuzzy-rational lotteries. Those can be approximated by standard lotteries with point-estimate probabilities, referred as classical-risky. Ranking the approximating classical-risky lotteries is a problem under risk, solved by expected utility. However, the approximation itself is a problem under strict uncertainty. Here this part of the problem is solved by criteria under strict uncertainty, which if not perfectly rational, are well worked descriptive methods with known properties. The proposed Laplace, Wald, maximax and Hurwicz expected utility criteria for prescriptive ranking of fuzzy-rational lotteries allow the DM to control the approximation of alternatives with partially quantified uncertainty in consistency with her/his degree of belief and with his optimism-pessimism attitude. That makes them superior to the widespread abandoned-m and normalized mean criteria, which often violate the intrinsic subjective probabilities of the DM. The proposed criteria are generalizations of expected utility criterion under risk and of their standard versions under strict uncertainty.
Cate of OECD: Computer and information sciences
Year of Publication: 2008
Business Area: lottery
Detail Business: lottery
Country: England
Study Area: utility, utility, probabilityFUZZY, probability, FUZZY, computer engineering, computer, attitude, risk
Name of Journal: INTERNATIONAL JOURNAL OF GENERAL SYSTEMS
Language: English
Country of Authors: [Tenekedjiev, Kiril I.; Nikolova, Natalia D.] Tech Univ Varna, Varna 9010, Bulgaria
Press Adress: Tenekedjiev, KI (reprint author), Tech Univ Varna, 1 Studentska St, Varna 9010, Bulgaria.
Email Address: kiril@dilogos.com; natalia@dilogos.com
Citaion:
Funding:
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Number of Citaion: 30
Publication: TAYLOR & FRANCIS LTD
City of Publication: ABINGDON
Address of Publication: 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND
ISSN: 0308-1079
29-Character Source Abbreviation: INT J GEN SYST
ISO Source Abbreviation: Int. J. Gen. Syst.
Volume: 37
Version: 2
Start of File: 249
End of File: 274
DOI: 10.1080/03081070701409046
Number of Pages: 26
Web of Science Category: Computer Science, Theory & Methods; Ergonomics
Subject Category: Computer Science; Engineering
Document Delivery Number: 276HG
Unique Article Identifier: WOS:000254131300007
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