Multiple Objective Decision Making — Methods and Applications.pdf

Multiple Objective Decision Making — Methods and Applications true
By:C.-L. Hwang,A.S.M. Masud
Published on 2012-12-06 by Springer Science & Business Media

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.

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Book ID of Multiple Objective Decision Making — Methods and Applications's Books is M0noCAAAQBAJ, Book which was written byC.-L. Hwang,A.S.M. Masudhave ETAG "EF2v3l3mi6o"

Book which was published by Springer Science & Business Media since 2012-12-06 have ISBNs, ISBN 13 Code is 9783642455117 and ISBN 10 Code is 3642455115

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