Share
multiple objective decision making methods and applications: a state-of-the-art survey (in English)
C. -L Hwang
(Author)
·
A. S. M. Masud
(Author)
·
Springer
· Paperback
multiple objective decision making methods and applications: a state-of-the-art survey (in English) - Hwang, C. -L ; Paidy, S. R. ; Masud, A. S. M.
$ 52.09
$ 54.99
You save: $ 2.90
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My WishlistsIt will be shipped from our warehouse between
Friday, June 21 and
Monday, June 24.
You will receive it anywhere in United States between 1 and 3 business days after shipment.
Synopsis "multiple objective decision making methods and applications: a state-of-the-art survey (in English)"
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.
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
✓ Producto agregado correctamente al carro, Ir a Pagar.
