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Pairwise comparisons methodtheory an...

Ramik, Jaroslav.

Pairwise comparisons methodtheory and applications in decision making /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Pairwise comparisons methodby Jaroslav Ramik.
其他題名:	theory and applications in decision making /
作者:	Ramik, Jaroslav.
出版者:	Cham :Springer International Publishing :2020.
面頁冊數:	xviii, 231 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Decision making.
電子資源:	https://doi.org/10.1007/978-3-030-39891-0
ISBN:	9783030398910$q(electronic bk.)

Pairwise comparisons methodtheory and applications in decision making /
Ramik, Jaroslav.

Pairwise comparisons methodtheory and applications in decision making /[electronic resource] :by Jaroslav Ramik. - Cham :Springer International Publishing :2020. - xviii, 231 p. :ill., digital ;24 cm. - Lecture notes in economics and mathematical systems,v.6900075-8442 ;. - Lecture notes in economics and mathematical systems ;461..

This book examines relationships between pairwise comparisons matrices. It first provides an overview of the latest theories of pairwise comparisons in decision making, discussing the pairwise comparison matrix, a fundamental tool for further investigation, as a deterministic matrix with given elements. Subsequent chapters then investigate these matrices under uncertainty, as a matrix with vague elements (fuzzy and/or intuitionistic fuzzy ones), and also as random elements. The second part of the book describes the application of the theoretical results in the three most popular multicriteria decision-making methods: the Analytic Hierarchy Process (AHP), PROMETHEE and TOPSIS. This book appeals to scholars in areas such as decision theory, operations research, optimization theory, algebra, interval analysis and fuzzy sets.

ISBN: 9783030398910$q(electronic bk.)

Standard No.: 10.1007/978-3-030-39891-0doiSubjects--Topical Terms:

183849
Decision making.

LC Class. No.: QA279.4 / .R363 2020

Dewey Class. No.: 519.542

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520 $a This book examines relationships between pairwise comparisons matrices. It first provides an overview of the latest theories of pairwise comparisons in decision making, discussing the pairwise comparison matrix, a fundamental tool for further investigation, as a deterministic matrix with given elements. Subsequent chapters then investigate these matrices under uncertainty, as a matrix with vague elements (fuzzy and/or intuitionistic fuzzy ones), and also as random elements. The second part of the book describes the application of the theoretical results in the three most popular multicriteria decision-making methods: the Analytic Hierarchy Process (AHP), PROMETHEE and TOPSIS. This book appeals to scholars in areas such as decision theory, operations research, optimization theory, algebra, interval analysis and fuzzy sets.
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