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Application of a method of processing inconsistency in the judgements of numerous experts

โœ Scribed by Zhao-Han Sheng; Liang Liang; Nan-Rong Xu; Guang-Mo Wu


Publisher
Elsevier Science
Year
1990
Tongue
English
Weight
470 KB
Volume
3
Category
Article
ISSN
0952-1976

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โœฆ Synopsis


Considerable attention has been focused recently upon effective extraction and encoding of the knowledge of experts. This is a well-known basic problem of Artificial Intelligence. By combining the advantages of AHP (the Analytic Hierarchy Process 1) with statistical analysis, a new method (PC-AHP) had been devised and is presented in this paper. In evaluating a multi-layer, multi-criterion system, a consistency adjuster is used in the PC-AHP method, to avoid tedious consistency checks. The method is demonstrated in an application evaluating the comprehensive development of cities. It is shown to have improved synthesis functions, and to be capable of flexible operation.


๐Ÿ“œ SIMILAR VOLUMES


A study of probabilistic information ret
โœ Lee, Jung Jin ;Kantor, Paul B. ๐Ÿ“‚ Article ๐Ÿ“… 1991 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 672 KB

The maximum entropy principle may be applied to the design of probabilistic retrieval systems. When there are inconsistent expert judgments, the resulting optimization problem cannot be solved. The inconsistency of the expert judgments can be revealed by solving a linear programming formulation. In