1996
DOI: 10.1016/0165-0114(95)00049-6
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Possibility and necessity integrals

Abstract: In this paper, we introduce seminormed and semiconormed fuzzy integrals associated with confidence measures. These confidence measures have a field of sets as their domain, and a complete lattice as their codomain. In introducing these integrals, the analogy with the classical introduction of Legesgue integrals is explored and exploited. It is amongst other things shown that our integrals are the most general integrals that satisfy a number of natural basic properties. In this way, our dual classes of fuzzy in… Show more

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Cited by 20 publications
(3 citation statements)
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“…It follows from the definition that N(Ω) = 1, and we call N normal if Π is, i.e., if N(∅) = 0. For more details about the theory of possibility measures, we refer to [1], [15], [16], [17], [18], [19], [20].…”
Section: Introductionmentioning
confidence: 99%
“…It follows from the definition that N(Ω) = 1, and we call N normal if Π is, i.e., if N(∅) = 0. For more details about the theory of possibility measures, we refer to [1], [15], [16], [17], [18], [19], [20].…”
Section: Introductionmentioning
confidence: 99%
“…Typical examples included those due to Dubois and Prade (1980;1988); Wang (1985); Liu and Wang (1987a;1987b); Zhang (1991); Zhang and Wang (1995); De Cooman and Kerre (1996); De Cooman (1995); Tsiporkova et al (1995). The most general definition of a necessity measure is: a necessity measure P is a mapping which is defined on a complete Boolean algebra (Davey and Priestly (1990)) B, takes values in a complete lattice L, and is 'corresponding author.…”
Section: Introductionmentioning
confidence: 97%
“…[3]. Many authors have studied with t-norms on bounded lattices [4][5][6][7][8][9]. Yılmaz and Kazancı have presented a method for generating t-norms on a finite distributive lattice by means of ∨-irreducible elements [10].…”
Section: Introductionmentioning
confidence: 99%