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A Comparison Of Methods To Construct An Optimal Membership Function In A Fuzzy Database System, Joanne Marie Cunningham
A Comparison Of Methods To Construct An Optimal Membership Function In A Fuzzy Database System, Joanne Marie Cunningham
Theses and Dissertations
A fuzzy set is one in which membership in a category is not Boolean, rather items have a degree of membership. Fuzzy databases expand on this idea by storing fuzzy data and allowing data to be retrieved based on its degree of membership. Determining the degree of membership that satisfies the largest number of users is difficult. Five different methods of determining the membership function: the Direct Rating Method, the Random Method with step sizes of .02 and .03, the Steplock Method, and the Weighted Average Method, were compared on the basis of convergence and user satisfaction. The results support …
Measuring Community Consensus In Facial Characterization Using Spatial Databases And Fuzzy Logic, James Lee Mastros
Measuring Community Consensus In Facial Characterization Using Spatial Databases And Fuzzy Logic, James Lee Mastros
Theses and Dissertations
Spatial databases store geometric objects and capture spatial relationships that can be used to represent key features of the human face. One can search spatial databases for these objects, and seek the relationships between them, using fuzzy logic to provide a natural way to describe the human face for the purposes of facial characterization. This study focuses on community perception of short, average, or long nose length. Three algorithms were used to update community opinion of nose length. All three methods showed similar trends in nose length classification which could indicate that the effort to extract spatial data from images …