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Criterion maps were combined using the fuzzy weighted linear combination operator.
In site selection for artificial recharge, the fuzzy algebraic product operator can be an appropriate combination operator, because at each location, the combined fuzzy membership value of the thematic maps to illustrate water depth, slope, drainage, soil, infiltration, lithology and landuse, and their characteristics is obtained.
The combining notion ⊕ here refers to the Dempster's combination operator, which is defined as the orthogonal sum (commutative and associative) as follows m = m 1 ⊕ m 2 ⊕ ⋅ ⋅ ⋅ ⊕ m m, where the aggregation m is expressed as m A = ∑ A 1, ⋯, A m ∈ Θ A 1 ∩ ⋯ ∩ A m ≠ ϕ m 1 A 1 ⋯ m m A m - 1 ⋅ ∑ A 1, ⋯, A m ∈ Θ A 1 ∩ ⋯ ∩ A m = A m 1 A 1 ⋅ ⋅ ⋅ m m A m.
In [15, 16], product was used as the likelihood combination operator which is a probabilistic approach.
The combination operator used to perform fusion between these pairwise SLFs influences the shape of the resulting SLF.
The proposed algorithm integrates a distance-and-quality based solution combination operator and a tabu search procedure based on neighborhood combination of one-flip and constrained exchange moves.
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Creating hypothesis combination operators is possible; in this figure hypothesis ha and hb are combined using a conjunction operator to produce hab.
This means that, unlike merging, combination operators cannot take into account cardinality considerations.
Another difference is that when combination operators are used, the information about the source of the knowledge bases is ignored.
Two combination operators sum and product are used to produce two separate spatial likelihood functions (SLFs).
The logical properties of such combination operators have been investigated in (Konieczny 2000) and compared to merging operators as defined in (Konieczny and Pino Pérez 1998, 1999).
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