Application of a method of processing inconsistency in the judgements of numerous experts
โ 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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โฆ 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.
๐ SIMILAR VOLUMES
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