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1994 | Buch

Fuzzy Preference Modelling and Multicriteria Decision Support

verfasst von: János Fodor, Marc Roubens

Verlag: Springer Netherlands

Buchreihe : Theory and Decision Library

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SUCHEN

Inhaltsverzeichnis

Frontmatter
Chapter 1. Fuzzy logical connectives
Abstract
In order to be able to work with valued concepts (especially, relations in subsequent chapters) we provide a rather complete and up to date survey of connectives used in fuzzy set theory. This approach to the foundations is only one possible way (for others see Höhle and Stout (1991)).
János Fodor, Marc Roubens
Chapter 2. Valued binary relations
Abstract
Binary relations play a central role in various fields of mathematics. Especially, equivalence relations and different kinds of ordering relations are employed in basic mathematical models. Typical areas are decision making and measurement theory. In addition, applications of binary relations appear naturally in social sciences.
János Fodor, Marc Roubens
Chapter 3. Valued preference modelling
Abstract
Preference modelling is a fundamental part of several applied fields but at the same time it has its own interesting theoretical problems. Our aim in this chapter is to propose an axiomatic approach to the definition of valued strict preference, indifference and incomparability associated with a valued (weak) preference relation so that most of the relationships (corresponding to the classical connections) among these valued relations are preserved.
János Fodor, Marc Roubens
Chapter 4. Similarity relations and valued orders
Abstract
In the classical theory of binary relations probably the two most important and most frequently applied classes consist of equivalence relations (with associated partitions) and different kinds of orders.
János Fodor, Marc Roubens
Chapter 5. Aggregation operations
Abstract
We consider m valued relations R 1,..., R m , 0 ≤ R i ≤ 1, and we are willing to substitute to the vector (R 1,..., R m ) one simple valued relation R using the aggregation operator M :
$$\bigcup\limits_{m = 1}^\infty {{{\left[ {0,1} \right]}^m}} \to \left[ {0,1} \right]suchthat0R = M\left( {{R_{1,}} \ldots ,{R_m}} \right)1$$
.
János Fodor, Marc Roubens
Chapter 6. Ranking procedures
Abstract
The problem of ranking deals with the definition of a preorder on a finite set of alternatives A based on a given valued preference relation R: A 2 → [0,1].
János Fodor, Marc Roubens
Chapter 7. Multiple criteria decision making
Abstract
In this Chapter, we imagine a decision maker (or a group of experts) trying to establish or examine fair procedures to combine opinions about alternatives related to different points of view.
János Fodor, Marc Roubens
Chapter 8. Summary, perspectives and open problems
Abstract
In this chapter we reformulate some results included in the book from a more practical point of view. This may help non-specialists to catch the main points and go into details (if they need any) in the corresponding Sections. Some unsolved theoretical problems are also presented.
János Fodor, Marc Roubens
Backmatter
Metadaten
Titel
Fuzzy Preference Modelling and Multicriteria Decision Support
verfasst von
János Fodor
Marc Roubens
Copyright-Jahr
1994
Verlag
Springer Netherlands
Electronic ISBN
978-94-017-1648-2
Print ISBN
978-90-481-4466-2
DOI
https://doi.org/10.1007/978-94-017-1648-2