DocumentCode :
2542131
Title :
High-quality decision making by aim-oriented modeling
Author :
Krissilov, V.A. ; Krissilov, A.D.
Author_Institution :
Comput. Dept., State Polytech. Univ., Odessa, Ukraine
fYear :
2000
fDate :
2000
Firstpage :
241
Lastpage :
245
Abstract :
One of the propositions of the paper is to represent classification, evaluation, judgement, decision making and choice as an evaluation task by defining different purposes of evaluation. The main result of this approach is the knowledge based evaluation model. The model is able to produce the aggregated characteristic for object in terms of goal contribution. The aggregated characteristic takes into account all the object´s features (both quantitative and qualitative), all demands to the object and some weight factors. Analysis of the aggregated characteristics allow one to evaluate a single object (e.g. its time changing), to compare all estimated objects, to make forecasting for single object dynamics and to do a clear explication for decision making. The main principles and general stages of vector model forming are described. The vector model is a base for the universal knowledge based system EXPEK PRO, which was successfully used for various AI tasks
Keywords :
decision theory; fuzzy set theory; knowledge based systems; modelling; AI tasks; EXPEK PRO; aggregated characteristic; aim oriented modeling; estimated objects; evaluation task; goal contribution; high quality decision making; knowledge based evaluation model; single object; single object dynamics; time changing; universal knowledge based system; vector model forming; weight factors; Artificial intelligence; Bayesian methods; Concrete; Decision making; Demand forecasting; Fuzzy set theory; Grounding; Knowledge based systems; Neural networks; Postal services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Information Processing Society, 2000. NAFIPS. 19th International Conference of the North American
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-6274-8
Type :
conf
DOI :
10.1109/NAFIPS.2000.877429
Filename :
877429
Link To Document :
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