A general evidential reasoning algorithm for multi-attribute decision analysis under interval uncertainty
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- 作者：Mei-Jing Zhanga ; b ; Ying-Ming Wanga ; msymwang@hotmail.com" class="auth_mail" title="E-mail the corresponding author ; Ling-Hui Lic ; Sheng-Qun Chenb
- 关键词：(B) Decision analysis ; (S) Multiple criteria analysis ; Evidential reasoning ; (B) Uncertainty modeling ; (S) Decision support systems
- 刊名：European Journal of Operational Research
- 出版年：2017
- 出版时间：16 March 2017
- 年：2017
- 卷：257
- 期：3
- 页码：1005-1015
- 全文大小：1056 K
文摘
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We review two evidential reasoning algorithms.
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A general analytical algorithm for IER is derived to handle interval uncertainty.
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A pair of nonlinear optimization models based on the new algorithm is established.
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We present an example for best partner selection using the new IER algorithm.
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The two reviewed algorithms are special cases of the new approach.