Fuzzy Logic Case Study

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CHAPTER 4
IMPLICIT RELATIONS ON WIKIPEDIA USING ASSOCIATION LINK NETWORK

Finding the semantic similarity, use the Fuzzy Cognitive Mapping Daniel (2009). Fuzzy logic is a form of much logical value. Compared to traditional binary sets fuzzy logic variables may have a truth value that ranges in degree between -1 and 1. Fuzzy logic has been extended to handle the concept of partial truth, where the truth value may range between completely true and completely false. A cognitive map is a type of mental representation that serves an individual to acquire code, store, recall and decode information about the relative locations. A Fuzzy cognitive map is a cognitive map within that the relations between the elements of a mental landscape can be used to compute the strength of impact of these elements. The theory behind that …show more content…
Graph consist of nodes concepts Cij and interconnections eij between concept Ci and concept Cj. A Fuzzy Cognitive Map models is a dynamic complex system it is a collection of concepts and effect relations between concepts Interconnections eij among concepts, they are characterized by a weight wij that describes the grade of causality between two concepts. Weights take values in the interval [-1, 1]. The sign of the weight indicates positive causality wij > 0 between concept Ci and concept Cj, that means that an increase of the value of concept Ci will cause an increase in the value of concept Cj and a decrease of the value of concept Ci will cause a decrease in the value of concept Cj. The negative causality between two concepts, then wij < 0; the increase in the first concept means the decrease in the value of the second concept and the decrease of concept Ci causes the increase in value of Cj, there is no relationship between concepts wij = 0 then, the strength of the weight wij indicates the degree of influence between concept Ci and concept

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