2000
DOI: 10.1016/s0165-0114(99)00030-5
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Aggregation operators for soft decision making in water resources

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Cited by 72 publications
(60 citation statements)
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“…In this section, the fundamental definitions and concepts of IFS theory as described by Despic and Simonovic (2000) is presented, also, the exponentially related function is introduced.…”
Section: Preliminariesmentioning
confidence: 99%
“…In this section, the fundamental definitions and concepts of IFS theory as described by Despic and Simonovic (2000) is presented, also, the exponentially related function is introduced.…”
Section: Preliminariesmentioning
confidence: 99%
“…However, if there exist some points x with µ Bi (x) = 0, which is a case often happening in practice, then µ A (x) = 0 no matter what γ is. In other words, Zimmermann's γ-family of operators does not give any compensation if any of the individuals to be aggregated are estimated to be zero [21].…”
Section: ) γ− Family Of Operatorsmentioning
confidence: 99%
“…The MIN operator belongs to a wide class of operators, the triangular norm (T-norm), which satisfies a set of rationality properties and are widely used in the field of MCDA analysis, especially in the fuzzy logic applications [Klement 2000]. Since the MIN is not compensative at all, some Authors proposed to substitute the MIN operator, in the dual space, with a smoother T-norm, [Kolesarova 2001, Klement 2000, Despic 2000, Fujimoto 1997. A natural choice can be the product of the values, that is a differentiable and partially compensative operator.…”
Section: Non Additive Measures and The Multi-linear Operatormentioning
confidence: 99%
“…Many methods were presented in literature, but most of them are based either on quite complex optimization algorithms, or on data mining techniques. In this case study, we preferred a user friendly approach, and adopted a method based on a suitable questionnaire [Despic 2000]. Let us suppose that the DM(s) judgements are in the scale [0,100], with the usual meaning for the numerical values, i.e.…”
Section: Identification Of the Measuresmentioning
confidence: 99%