Results 131 to 140 of about 17,216 (168)
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Proceedings of the 35th Annual Southeast Regional Conference on - ACM-SE 35, 1997
We present a fuzzy version of the crisp spatial logic developed by Randell et al., which takes the single relation connected-with as primitive. Membership functions are defined for each spatial relation defined in the crisp theory. Furthermore, principles are presented for defining linguistic variables whose linguistic values are spatial relations. The
Albert C. Esterline +2 more
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We present a fuzzy version of the crisp spatial logic developed by Randell et al., which takes the single relation connected-with as primitive. Membership functions are defined for each spatial relation defined in the crisp theory. Furthermore, principles are presented for defining linguistic variables whose linguistic values are spatial relations. The
Albert C. Esterline +2 more
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Fuzzy relational algebra for possibility-distribution-fuzzy-relational model of fuzzy data
Journal of Intelligent Information Systems, 1994In the real world, there exist a lot of fuzzy data which cannot or need not be precisely defined. We distinguish two types of fuzziness: one in an attribute value itself and the other in an association of them. For such fuzzy data, we propose a possibility-distribution-fuzzy-relational model, in which fuzzy data are represented by fuzzy relations whose
Motohide Umano, Satoru Fukami
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Fuzzy Relation Equations with Fuzzy Quantifiers
2017In this paper, we follow the previous works on fuzzy relation compositions based on fuzzy quantifiers and we introduce systems of fuzzy relation equations stemming from compositions based on fuzzy quantifiers. We address the question, whether such systems under some specific conditions may become solvable, and we provide a positive answer. Based on the
Nhung Cao, Martin Stepnicka
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Fuzzy congruence relation generated by a fuzzy relation in vector spaces
Journal of Intelligent & Fuzzy Systems, 2018In this paper, we introduce the concepts of fuzzy congruence relation and fuzzy coset relation on vector spaces and find some their properties. We define some operations on fuzzy coset relations and show that the set of all fuzzy coset relations on a vector space is a vector space, too.
S. Khosravi Shoar +2 more
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Aggregation of I-transitive fuzzy relations and fuzzy preference relations
Computational and Applied MathematicszbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dechao Li, Yutao Yao
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Fuzzy division in fuzzy relational databases: an approach
Fuzzy Sets and Systems, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
José Galindo +2 more
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Fuzzy Sets and Systems, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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A fuzzy relational equation in dynamic fuzzy systems
Fuzzy Sets and Systems, 1999zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Masami Kurano +3 more
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FUZZY CLUSTERING BASED ON INTUITIONISTIC FUZZY RELATIONS
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2004It is well known that an intuitionistic fuzzy relation is a generalization of a fuzzy relation. In fact there are situations where intuitionistic fuzzy relations are more appropriate. This paper discusses the fuzzy clustering based on intuitionistic fuzzy relations. On the basis of max -t & min -s compositions, we discuss an n-step procedure which
Wen-Liang Hung +2 more
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PROCESSING OF FUZZY NUMBERS BY FUZZY RELATION EQUATIONS
Kybernetes, 1986In this paper we deal with fuzzy numbers that modelize uncertain quantities present in many fields of applications, such as man‐machine systems. Main attention is paid to inverse operations for fuzzy numbers which allow one to solve equations or systems of equations with fuzzy numbers.
A. Di Nola, W. Pedrycz, SESSA, SALVATORE
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