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1Park, K.S. ; Kim, S.H.: Fuzzy cognitive maps considering time relationships.
In: International journal of human-computer studies. 42(1995) no.2, S.157-168.
Abstract: Casual knowledge is often cyclic and fuzzy, thus it is hard to represent in the form of trees. A fuzzy cognitive map (FCM) can represent casual knowledge as a sogned directed graph with feedback. Provides an intuitive framework in which to form decision problems as perceived by decision makers and to incorporate the knowledge of experts. Proposes a fuzzy time cognitive map (FTCM), which is a FCM introduced to a time relationship on arrows. Discusses the characteristics and basic assumptions of the FCM, and present a description of casual propagation in a FCM with the causalities of negative positive neutral interval [-1,1]. Develops a method of translating the FTCM, that has a different time lag, into the FTCM that has 1 or the same unit time lag, which is a value preserving translation. With the FTCM, illustrates analyzing the change of causalities among factors according to lapse of time