Title
Generalized Scalarizing Model Gens In Dss Weboptim
Abstract
A web-based Decision Support System WebOptim for solving multiple objective optimization problems is presented. Its basic characteristics are: user-independent, multisolver-admissibility, method-independent, heterogeneity, web-accessibility. Core system module is an original generalized interactive scalarizing method. It incorporates a number of thirteen interactive methods. Most of the known scalarizing approaches (reference point approach, reference direction approach, classification approach etc.) could be used by changing the method's parameters. The Decision Maker (DM) can choose the most suitable for him/her form for setting his/her preferences: objective weights, aspiration levels, aspiration directions, aspiration intervals. This information could be changed interactively by the DM during the solution process. Depending on the DM's preferences form the suitable scalarizing method is chosen automatically. In this way the demands on the DM's knowledge and experience in the optimization methods area are minimized.
Year
DOI
Venue
2013
10.4018/jdsst.2013070101
INTERNATIONAL JOURNAL OF DECISION SUPPORT SYSTEM TECHNOLOGY
Keywords
Field
DocType
Decision Support Systems, Interactive Methods, Multi-Objective Decision Making, Optimization, Scalarizing Methods
Data mining,Computer science,Decision support system,Artificial intelligence,Optimization problem,Decision maker
Journal
Volume
Issue
ISSN
5
3
1941-6296
Citations 
PageRank 
References 
0
0.34
10
Authors
5
Name
Order
Citations
PageRank
Leoneed Kirilov142.64
Vassil Guliashki253.38
Krassimira Genova300.68
Mariana Vassileva431.17
Boris Staykov531.93