Obtaining robust decisions under uncertainty by sensitivity analysis on OWA operator
作者： Mahdi Zarghaami , Reza Ardakanian , Ferenc Szidarovszky
关键词:
摘要: The successful design and application of the ordered weighted averaging (OWA) method as a decision making tool depends on efficient computation its order weights. most popular methods for determining weights are fuzzy linguistic quantifiers approach minimal variability which give different behavior patterns OWA. These will be compared by using sensitivity analysis outputs OWA with respect to optimism degree maker. theoretical results illustrated in water resources management problem. gives more information about comparison method. However, method, has linear therefore it better efficiency. A simulation study is also reported this paper, where dependence optimal uncertainty level examined. Also based obtained measure, new combined measure goodness been defined have reliability obtaining solutions
sci-hub.se 参考文章(11)
Christer Carlsson, Robert Fullér, Szvetlana Fullér, OWA operators for doctoral student selection problem The ordered weighted averaging operators. pp. 167- 177 ,(1997) , 10.1007/978-1-4615-6123-1_14
H.-J. Zimmermann, Decision Making in Fuzzy Environments Fuzzy Set Theory—and Its Applications. pp. 329- 370 ,(2001) , 10.1007/978-94-010-0646-0_14
Jacek Malczewski, Claus Rinner, Exploring multicriteria decision strategies in GIS with linguistic quantifiers: A case study of residential quality evaluation Journal of Geographical Systems. ,vol. 7, pp. 249- 268 ,(2005) , 10.1007/S10109-005-0159-2
Evangelos Triantaphyllou, Alfonso Sánchez, A Sensitivity Analysis Approach for Some Deterministic Multi-Criteria Decision-Making Methods* Decision Sciences. ,vol. 28, pp. 151- 194 ,(1997) , 10.1111/J.1540-5915.1997.TB01306.X
Robert Fullér, Péter Majlender, On obtaining minimal variability OWA operator weights Fuzzy Sets and Systems. ,vol. 136, pp. 203- 215 ,(2003) , 10.1016/S0165-0114(02)00267-1
David Ben-Arieh, Sensitivity of multi-criteria decision making to linguistic quantifiers and aggregation means Computers & Industrial Engineering. ,vol. 48, pp. 289- 309 ,(2005) , 10.1016/J.CIE.2005.01.014
R.R. Yager, On ordered weighted averaging aggregation operators in multicriteria decisionmaking systems man and cybernetics. ,vol. 18, pp. 183- 190 ,(1988) , 10.1109/21.87068
Ronald R. Yager, Quantifier guided aggregation using OWA operators International Journal of Intelligent Systems. ,vol. 11, pp. 49- 73 ,(1998) , 10.1002/(SICI)1098-111X(199601)11:1<49::AID-INT3>3.0.CO;2-Z
Zeshui Xu, An overview of methods for determining OWA weights International Journal of Intelligent Systems. ,vol. 20, pp. 843- 865 ,(2005) , 10.1002/INT.20097
J. Fodor, J.-L. Marichal, M. Roubens, Characterization of the ordered weighted averaging operators IEEE Transactions on Fuzzy Systems. ,vol. 3, pp. 236- 240 ,(1995) , 10.1109/91.388176