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Aggregation with generalized mixture operators using weighting functions

✍ Scribed by Ricardo Alberto Marques Pereira; Rita Almeida Ribeiro

Book ID
104291470
Publisher
Elsevier Science
Year
2003
Tongue
English
Weight
439 KB
Volume
137
Category
Article
ISSN
0165-0114

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✦ Synopsis

This paper regards weighted aggregation operators in multiple attribute decision making and its main goal is to investigate ways in which weights can depend on the satisfaction degrees of the various attributes (criteria). We propose and discuss two types of weighting functions that penalize poorly satisΓΏed attributes and reward well-satisΓΏed attributes. We discuss in detail the characteristics and properties of both functions. Moreover, we present an illustrative example to clarify the use and behaviour of such weighting functions, comparing the results with those of standard weighted averaging operators.

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