文献类型：期刊文献

英文题名：A computing with words based approach to multicriteria energy planning

作者：Yan, Hong-Bin[1]; Ma, Tieju[1]; Nakamori, Yoshiteru[2]; Huynh, Van-Nam[2]

机构：[1] School of Business, East China University of Science and Technology, Meilong Road 130, Shanghai 200237, China; [2] School of Knowledge Science, Japan Advanced Institute of Science and Technology, 1-1 Asahidai, Nomi City, Ishikawa, 923-1292, Japan

年份：2011

卷号：7027 LNAI

起止页码：48

外文期刊名：Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

收录：EI(收录号：20114314459059)

语种：英文

外文关键词：Energy policy - Membership functions - Semantics

摘要：Exploitation of new and innovative energy alternatives is a key means towards a sustainable energy system. This paper proposes a linguistic energy planning model with computation solely on words as well as considering the policy-maker's preference information. To do so, a probabilistic approach is first proposed to derive the underlying semantic overlapping of linguistic labels from their associated fuzzy membership functions. Second, a satisfactory-oriented choice function is proposed to incorporate the policy-maker's preference information. Third, our model is extended to multicriteria case with linguistic importance weights. One example, borrowed from the literature, is used to show the effectiveness and advantages of our model. ? 2011 Springer-Verlag Berlin Heidelberg.