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- W192255014 abstract "This thesis proposes the implementation of a fuzzy cognitive map based on negative, positive, and neutral logic (NPN-FCM) for impact assessment of transportation projects. Many of the social and environmental impact variables of transportation projects are difficult to express in objective quantitative terms. Therefore, it is common for a subjective impact assessment to be carried out by many experts who have different backgrounds and expertises. In such circumstances, fuzzy set theory offers versatile methods for the representation and analysis of judgements since it can handle incomplete information and uncertain or imprecise data. A fuzzy cognitive map (FCM) is a model which represents uncertain causal reasoning. Further, the Extended Fuzzy Pulse Process (EFPP) algorithm is proposed to determine the values of transitive closure and their related paths in NPN-FCMs. By using the EFPP algorithm, the NPN-FCM is extended to facilitate the inclusion of the spatial and temporal dimensions of impacts. Moreover, fuzzy multi-criteria analysis based on the NPN-FCM is developed as a decision-aiding tool to assess the significance of both intended and unintended impacts which result from the choice of policy variables. The implementation of the NPN-FCM is examined in the context of an illustrative semi-hypothetical example involving the tollway construction in Yogyakarta, Indonesia (Section 2B) and the development of two integrated terminals in the same city." @default.
- W192255014 created "2016-06-24" @default.
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- W192255014 date "2000-01-01" @default.
- W192255014 modified "2023-09-26" @default.
- W192255014 title "Fuzzy cognitive map based on NPN logic : a new method for impact assessment" @default.
- W192255014 hasPublicationYear "2000" @default.
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