Paper Info
Title
The Technique of Multi-criteria Decision-Making in the Study of Semi-structured Problems.
Abstract
In the article it is proposed to use additional information from the decision maker (DM) for removing the criteria of uncertainty when making decisions in the framework of semi-structured problems, which is characterized by incomplete information, numerous qualitative and the quantitative selection criteria. This information is represented by the production models and processed by using the methods of the experiment planning theory and parametric fuzzy measures. The essence of the proposed methodology consists of sharing the ideas of verbal analysis of the decisions (simple and complex basic situation of a survey) and procedures of bringing data qualitative indicators to the quantitative ones, which is based on using the mathematical apparatus of the theory of fuzzy sets, relations and measures, and the theory of experiment planning. A parametric fuzzy measure has been constructed in order to reduce the number of calls to the DM in the process of the expert survey and the consistency control of his statements in the set of the production rules that represent basic situation of the survey. This parametric fuzzy measure allows computing the DM's preferences on criteria for achieving the goal set for making the management decisions.
Year
DOI
Venue
2017
10.1007/978-3-319-57264-2_13
CYBERNETICS AND MATHEMATICS APPLICATIONS IN INTELLIGENT SYSTEMS, CSOC2017, VOL 2
Keywords
Field
DocType
Criteria uncertainty,Production model,Reference situation of survey,Theory of experiment planning,Fuzzy measure
Consistency control,Computer science,Fuzzy logic,Fuzzy set,Parametric statistics,Artificial intelligence,Machine learning,Complete information,Decision maker
Conference
Volume
ISSN
Citations 
574
2194-5357
0
PageRank 
References 
Authors
0.34
3
4
Name
Order
Citations
PageRank
Alexander N. Pavlov1244.40
Dmitry A. Pavlov200.34
Alexey A. Pavlov300.68
Alexey A. Slin'ko400.68