A novel risk attitudinal ranking method for intuitionistic fuzzy values and application to MADM
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- 作者：Shu-Ping Wana ; shupingwan@163.com" class="auth_mail" title="E-mail the corresponding author ; Feng Wanga ; Jiu-Ying Dongb ; c
- 关键词：Intuitionistic fuzzy sets ; Multi-attribute decision making ; Technique for order preference by similarity to ideal solution ; Fractional programming ; Risk attitude
- 刊名：Applied Soft Computing
- 出版年：2016
- 出版时间：March 2016
- 年：2016
- 卷：40
- 期：Complete
- 页码：98-112
- 全文大小：1284 K
文摘
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The amount of information of an IFS is characterized by the closeness degree.
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The area of triangle is calculated to measure reliability of information of an IFS.
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It is proved that the closeness degree and triangle area just form an interval.
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A novel risk attitudinal measure is developed to rank IFS by C-OWA operator.
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Attributes weights are derived by constructing multi-objective fractional programming model.