Making Better Decisions Making Better Decisions
International Series in Operations Research & Management Science

Making Better Decisions

Balancing Conflicting Criteria

    • ‏34٫99 US$
    • ‏34٫99 US$

وصف الناشر

This book offers a comprehensive introduction to decision-making in an MCDM framework. Designed as a tutorial, it presents the main concepts and methods to be applied, together with essential background information. This includes the concept of nondominance, Simon’s bounded rationality, Tversky and Kahneman’s prospect theory, and the concepts of behavioral vs. mathematical convergence and premature stopping put forward by Korhonen, Moskowitz and Wallenius. The book concludes with a non-technical review of many popular decision algorithms, including the Analytic Hierarchy Process (AHP), VIMDA, and a number of classic interactive man-machine algorithms. In essence, the book is a “one-stop” source on everything you need to know about managerial decision-making in the multiple-criteria setting.

النوع
تمويل شركات وأفراد
تاريخ النشر
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١٨ أغسطس
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Springer International Publishing
البائع
Springer Nature B.V.
الحجم
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‫م.ب.‬
Successful Decision-making Successful Decision-making
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Bounded Rationality Bounded Rationality
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SUPPLEMENT II: Economic Issues for Restructuring Economies SUPPLEMENT II: Economic Issues for Restructuring Economies
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Wonderful Solutions and Habitual Domains for Challenging Problems in Changeable Spaces Wonderful Solutions and Habitual Domains for Challenging Problems in Changeable Spaces
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Decide to Succeed Decide to Succeed
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Enlightened Planning Enlightened Planning
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The Multi-Criteria Approach for Decision Support The Multi-Criteria Approach for Decision Support
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Cross-Chain Collaboration in Logistics Cross-Chain Collaboration in Logistics
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Modelling in Mathematical Programming Modelling in Mathematical Programming
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Quantitative Risk Analysis of Air Pollution Health Effects Quantitative Risk Analysis of Air Pollution Health Effects
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Optimization Under Stochastic Uncertainty Optimization Under Stochastic Uncertainty
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Harvey J. Greenberg Harvey J. Greenberg
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