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Autor:
Amit Banerjee
Publikováno v:
2012 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS).
In this paper, a new robust clustering methodology based on a genetic algorithm is proposed. The problem of interest is clustering an input set of fuzzy membership functions which in the past have been clustered using an inclusion index. Two distinct
Publikováno v:
2012 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS).
Fuzzy Cognitive Maps (FCMs) can represent causal relations among concepts in the form of directed weighted graphs. Learning FCMs from data is a difficult task because of the large number of candidate FCMs. The goal of learning FCMs is to find good we
Autor:
Enric Trillas
Publikováno v:
2012 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS).
This paper is just devoted to introduce a mathematical model unifying the reasonings that are comprehended under the labels ‘deduction’, ‘refutation’, ‘abduction’, and ‘induction’. Such model can be summarized by the expression ‘con
Autor:
Anca L. Ralescu, Mohammad Rawashdeh
Publikováno v:
2012 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS).
Based on a framework, that casts the problem of clustering a set of data points as a problem of clustering the associated pairwise distances, this study generalizes the silhouette measure to fuzzy partitions, in turn, proposing an outstanding tool to
Publikováno v:
2012 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS).
Fuzzy Set Qualitative Comparative Analysis (fsQCA) is a methodology for obtaining linguistic summarizations from data that are associated with cases. It was developed by the social scientist Prof. Charles C. Ragin. fsQCA seeks to establish logical co
Publikováno v:
2012 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS).
After more than three decades since the introduction of linguistic variables and their application to approximate reasoning by Zadeh [1], the ability of fuzzy logic systems (FLSs) for modeling real world applications is not a secret to anyone. Curren
Autor:
Jerry M. Mendel, Mohammad Reza Rajati
Publikováno v:
2012 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS).
In this paper, we present a solution to Zadeh's Swedes and Italians challenge problem which involves linguistic quantifiers and linguistic attributes. First, we argue that Zadeh's solution to this problem via the Generalized Extension Principle is ve
Publikováno v:
2012 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS).
Semantic similarity measure becomes profoundly important and useful in many applications of linked data. In this paper, we provide a novel solution for determining similarity between concepts in linked data while allowing the importance of properties
Validation of Fuzzy set Qualitative Comparative Analysis (fsQCA): Granular description of a function
Publikováno v:
2012 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS).
Fuzzy set Qualitative Comparative Analysis (fsQCA) is a methodology for obtaining linguistic summarizations from data that are associated with cases. It contains 13 steps which are mathematically described in [2]. In this paper we focus on the valida
Autor:
I. Burhan Turksen
Publikováno v:
2012 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS).
We first touch upon a Philosophical Grounding of fuzzy theory expressed by Pierce and Zadeh. Then we first review briefly basic and well known fuzzy rule base models and their variations as well as our fuzzy functions with LSE and their enhanced vers