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Representation Of Fuzzy Queries In The Form Of A Multi-Criteria Decision Matrix Using Z-Numbers

EasyChair Preprint no. 6210

12 pagesDate: August 1, 2021

Abstract

This work is devoted to the formalization of fuzzy conditions of fuzzy queries in the form of a Z-number without the direct intervention of experts. As you know, the number of alternatives involved in the decision-making process in multicriteria problems is usually not very large and is evaluated according to criteria with the help of experts. However, fuzzy queries are mainly used to evaluate and rank a large number of alternatives, for which it is almost impossible to carry out a preliminary assessment by criteria. On the other hand, how can you be sure of the reliability of the obtained results of fuzzy queries with fuzzy conditions, also expressed with certain reliability.

A method is proposed for converting fuzzy conditions of fuzzy queries (criteria) to Z-number, with the help of which it is possible to use multi-criteria decision-making methods of Z-numbers to process fuzzy queries with a large number of records (alternatives).

Keyphrases: corporate information systems, Decision making methods, decision-making matrix, Fuzzy associations, fuzzy queries, Z-number

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:6210,
  author = {Ramiz Alekperov},
  title = {Representation Of Fuzzy Queries In The Form Of A Multi-Criteria Decision Matrix Using Z-Numbers},
  howpublished = {EasyChair Preprint no. 6210},

  year = {EasyChair, 2021}}
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