RAMÍK, Jaroslav. Deriving Priority Vector From Pairwise Comparisons Matrix With Fuzzy Elements. Fuzzy Sets and Systems An International Journal in Information Science and Engeneering. Amsterdam: Elsevier, 2021, vol. 2021, No 422, p. 68-82. ISSN 0165-0114. Available from: https://dx.doi.org/10.1016/j.fss.2020.11.022.
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Basic information
Original name Deriving Priority Vector From Pairwise Comparisons Matrix With Fuzzy Elements
Name in Czech Stanovení prioritního vektoru z matice párových porovnání s fuzzy prvky
Authors RAMÍK, Jaroslav (203 Czech Republic, guarantor, belonging to the institution).
Edition Fuzzy Sets and Systems An International Journal in Information Science and Engeneering, Amsterdam, Elsevier, 2021, 0165-0114.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10102 Applied mathematics
Country of publisher Netherlands
Confidentiality degree is not subject to a state or trade secret
WWW URL
RIV identification code RIV/47813059:19520/21:A0000185
Organization unit School of Business Administration in Karvina
Doi http://dx.doi.org/10.1016/j.fss.2020.11.022
UT WoS 000691786300004
Keywords (in Czech) vícekriteriální optimalizace; matice párových porovnání; fuzzy prvky; alo-grupy
Keywords in English multi-criteria optimization; pair-wise comparisons matrix; fuzzy elements; alo-group
Tags impakt
Links GA18-01246S, research and development project.
Changed by Changed by: Miroslava Snopková, učo 43819. Changed: 11/4/2022 07:08.
Abstract
This paper deals with the pairwise comparisons matrix with fuzzy elements (FPCM). Fuzzy elements of the FPCM are applied whenever the decision maker is not sure about the value of his/her evaluation of the relative importance of elements in question. We investigate the pairwise comparisons matrices with elements from abelian linearly ordered group (alo-group) over a real interval, introduce the concept of reciprocity and (weak) consistency of FPCMs and derive their properties. Such an approach unifies several approaches known from the literature. Moreover, we propose a new general procedure for deriving the priority vector from the FPCM enabling ranking or rating a given set of alternatives.
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