Decision making and optimization[ele...
Gavalec, Martin.

 

  • Decision making and optimization[electronic resource] :special matrices and their applications in economics and management /
  • 紀錄類型: 書目-語言資料,印刷品 : Monograph/item
    杜威分類號: 519.542
    書名/作者: Decision making and optimization : special matrices and their applications in economics and management // by Martin Gavalec, Jaroslav Ramik, Karel Zimmermann.
    作者: Gavalec, Martin.
    其他作者: Ramik, Jaroslav.
    出版者: Cham : : Springer International Publishing :, 2015.
    面頁冊數: xi, 225 p. : : ill., digital ;; 24 cm.
    Contained By: Springer eBooks
    標題: Matrices.
    標題: Mathematical optimization.
    標題: Economics/Management Science.
    標題: Operation Research/Decision Theory.
    標題: Game Theory/Mathematical Methods.
    標題: Optimization.
    標題: Computational Intelligence.
    標題: Operations Research, Management Science.
    標題: Engineering Economics, Organization, Logistics, Marketing.
    ISBN: 9783319083230 (electronic bk.)
    ISBN: 9783319083223 (paper)
    內容註: Special Matrices in Decision Making: Preliminaries -- Pairwise Comparison Matrices in Decision Making -- Preference Matrices with Fuzzy Elements in Decision Making -- Special Matrices in Max-Min Algebra: Optimization Problems under Max-Min Separable Constraints.
    摘要、提要註: The book is a benefit for graduate and postgraduate students in the areas of operations research, decision theory, optimization theory, linear algebra, interval analysis, and fuzzy sets. The book will also be useful for the researchers in the respective areas. The first part of the book deals with decision making problems and procedures that have been established to combine opinions about alternatives related to different points of view. Procedures based on pairwise comparisons are thoroughly investigated. In the second part we investigate optimization problems where objective functions and constraints are characterized by extremal operators such as maximum, minimum or various triangular norms (t-norms). Matrices in max-min algebra are useful in applications such as automata theory, design of switching circuits, logic of binary relations, medical diagnosis, Markov chains, social choice, models of organizations, information systems, political systems and clustering. The input data in real problems are usually not exact and can be characterized by interval values.
    電子資源: http://dx.doi.org/10.1007/978-3-319-08323-0
評論
Export
取書館別
 
 
變更密碼
登入