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Download the fantastic book titled Multiple Objective Decision Making Methods and Applications written by C.-L. Hwang, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Multiple Objective Decision Making Methods and Applications", which was released on 06 December 2012. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Business & Economics genre.

Summary of Multiple Objective Decision Making Methods and Applications by C.-L. Hwang PDF

Decision making is the process of selecting a possible course of action from all the available alternatives. In almost all such problems the multiplicity of criteria for judging the alternatives is pervasive. That is, for many such problems, the decision maker (OM) wants to attain more than one objective or goal in selecting the course of action while satisfying the constraints dictated by environment, processes, and resources. Another characteristic of these problems is that the objectives are apparently non commensurable. Mathematically, these problems can be represented as: (1. 1 ) subject to: gi(~) ~ 0, ,', . . . ,. ! where ~ is an n dimensional decision variable vector. The problem consists of n decision variables, m constraints and k objectives. Any or all of the functions may be nonlinear. In literature this problem is often referred to as a vector maximum problem (VMP). Traditionally there are two approaches for solving the VMP. One of them is to optimize one of the objectives while appending the other objectives to a constraint set so that the optimal solution would satisfy these objectives at least up to a predetermined level. The problem is given as: Max f. ~) 1 (1. 2) subject to: where at is any acceptable predetermined level for objective t. The other approach is to optimize a super-objective function created by multiplying each 2 objective function with a suitable weight and then by adding them together.


Detail About Multiple Objective Decision Making Methods and Applications PDF

  • Author : C.-L. Hwang
  • Publisher : Springer Science & Business Media
  • Genre : Business & Economics
  • Total Pages : 366 pages
  • ISBN : 3642455115
  • PDF File Size : 38,5 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Multiple Objective Decision Making — Methods and Applications

Multiple Objective Decision Making — Methods and Applications
  • Publisher : Springer Science & Business Media
  • File Size : 40,8 Mb
  • Release Date : 06 December 2012
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Decision making is the process of selecting a possible course of action from all the available alternatives. In almost all such problems the multiplicity of criteria for judging the alternatives

Multiobjective Decision Making

Multiobjective Decision Making
  • Publisher : Courier Dover Publications
  • File Size : 34,8 Mb
  • Release Date : 04 February 2008
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This first-rate text explores the theory and methodology of systems engineering in evaluating alternative courses of action and associated decision-making policies. It treats criteria as multidimensional, rather than scalar, in

Fuzzy Multiple Objective Decision Making

Fuzzy Multiple Objective Decision Making
  • Publisher : CRC Press
  • File Size : 23,7 Mb
  • Release Date : 19 April 2016
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Multi-objective programming (MOP) can simultaneously optimize multi-objectives in mathematical programming models, but the optimization of multi-objectives triggers the issue of Pareto solutions and complicates the derived answers. To address these

Multi-objective Group Decision Making

Multi-objective Group Decision Making
  • Publisher : Imperial College Press
  • File Size : 24,6 Mb
  • Release Date : 28 May 2024
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This book proposes a set of models to describe fuzzy multi-objective decision making (MODM), fuzzy multi-criteria decision making (MCDM), fuzzy group decision making (GDM) and fuzzy multi-objective group decision-making problems,

Multiple Criteria Decision Making by Multiobjective Optimization

Multiple Criteria Decision Making by Multiobjective Optimization
  • Publisher : Springer
  • File Size : 49,8 Mb
  • Release Date : 02 August 2016
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This textbook approaches optimization from a multi-aspect, multi-criteria perspective. By using a Multiple Criteria Decision Making (MCDM) approach, it avoids the limits and oversimplifications that can come with optimization models

Fuzzy Multiple Objective Decision Making

Fuzzy Multiple Objective Decision Making
  • Publisher : Springer Science & Business Media
  • File Size : 45,9 Mb
  • Release Date : 06 December 2012
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In the last 25 years, the fuzzy set theory has been applied in many disciplines such as operations research, management science, control theory, artificial intelligence/expert system, etc. In this volume,

Multi-Objective Decision Making

Multi-Objective Decision Making
  • Publisher : Springer Nature
  • File Size : 27,6 Mb
  • Release Date : 31 May 2022
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Many real-world decision problems have multiple objectives. For example, when choosing a medical treatment plan, we want to maximize the efficacy of the treatment, but also minimize the side effects.

Interactive Multiobjective Decision Making Under Uncertainty

Interactive Multiobjective Decision Making Under Uncertainty
  • Publisher : CRC Press
  • File Size : 52,9 Mb
  • Release Date : 03 February 2017
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Recently, many books on multiobjective programming have been published. However, only a few books have been published, in which multiobjective programming under the randomness and the fuzziness are investigated. On

Strategic Decision Making

Strategic Decision Making
  • Publisher : Brooks/Cole
  • File Size : 20,5 Mb
  • Release Date : 28 May 1997
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This work on strategic decision making focuses on multi-objective decision analysis with spreadsheets

Multi-objective Decision Analysis

Multi-objective Decision Analysis
  • Publisher : Business Expert Press
  • File Size : 32,7 Mb
  • Release Date : 28 March 2013
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Whether managing strategy, operations or products, knowing how to make the best decision in a complex, uncertain business environment is difficult. You might be faced with multiple, competing objectives, which