J 2019

Some new properties of inconsistent pairwise comparisons matrices

RAMÍK, Jaroslav and Jiří MAZUREK

Basic information

Original name

Some new properties of inconsistent pairwise comparisons matrices

Authors

RAMÍK, Jaroslav (203 Czech Republic, guarantor, belonging to the institution) and Jiří MAZUREK (203 Czech Republic, belonging to the institution)

Edition

International Journal of Approximate Reasoning, Amsterdam, Nizozemí, Elsevier, 2019, 0888-613X

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10200 1.2 Computer and information sciences

Country of publisher

Netherlands

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

RIV identification code

RIV/47813059:19520/19:A0000006

Organization unit

School of Business Administration in Karvina

UT WoS

000487166000007

Keywords in English

AHP; Pairwise comparisons; Pairwise comparisons matrix; Inconsistency; Order of preferences

Links

GA18-01246S, research and development project.
Změněno: 21/4/2020 10:23, Ing. Petra Skoumalová

Abstract

V originále

Saaty's approach in the AHP framework divides inconsistent pairwise comparisons (PC) matrices into two categories, those with the acceptable inconsistency (with the consistency ratio equal to or under 0.10 threshold) and those with unacceptable inconsistency (above that threshold). The aim of this paper is to show that such a division is not appropriate, hence a new categorization of inconsistent matrices is proposed with respect to a satisfaction/violation of selected logical properties, such as the fundamental selection (FS) condition, the preservation of order preference (POP) condition, and the preservation of order of intensity of preference (POIP) condition. Moreover, a new non-linear optimization method for the derivation of weights (i.e. priority vector) is proposed such that the three aforementioned logical conditions are met. In the numerical part of the paper it is examined how frequently are the FS, POP and POIP conditions satisfied or violated for randomly generated PC matrices.