D
2022
Indexes of Desirable Properties of a Pairwise Comparison Matrix with Fuzzy Elements
BARTL, David and Jaroslav RAMÍK
Basic information
Original name
Indexes of Desirable Properties of a Pairwise Comparison Matrix with Fuzzy Elements
Authors
BARTL, David and Jaroslav RAMÍK
Edition
Jihlava, 40th International Conference Mathematical Methods in Economics 2022: Proceedings: College of Polytechnics Jihlava: 7 – 9 September 2020: Jihlava, Czech Republic, p. 1-7, 7 pp. 2022
Publisher
College of Polytechnics Jihlava, Tolstého 1556/16, Jihlava, Czech Republic
Other information
Type of outcome
Proceedings paper
Country of publisher
Czech Republic
Confidentiality degree
is not subject to a state or trade secret
Publication form
electronic version available online
Organization
Obchodně podnikatelská fakulta v Karviné – Slezská univerzita v Opavě – Repository
Keywords in English
multi-criteria optimization; Analytic Hierarchy Process (AHP); pairwise comparison matrix; fuzzy elements; consistency; intensity; coherence; priority vector; alo-group
Links
GA21-03085S, research and development project.
V originále
In the Analytic Hierarchy Process (AHP), pairwise comparisons are used to quantify the relative importance of the elements, i.e. the criteria and/or alternatives. Fuzzy elements are appropriate whenever the decision maker is uncertain about the value of his/her evaluation of the relative importance of the elements in question. In this paper, we deal with the general case when the elements of the pairwise comparison matrix are fuzzy subsets of an Abelian linearly ordered group (alo-group). We then propose some desirable properties – consistency, intensity, and coherence – of the fuzzy pairwise comparison matrix and we also propose indexes to measure these desirable properties. Based on these indexes, a new solution algorithm to find the priority vector satisfying these desirable properties can be formulated.
Displayed: 9/5/2025 14:48