On weak consistency of interval additive reciprocal matrices

When one estimates the importance of alternatives under rational choice, it is natural to avoid self-contradiction from the viewpoint of psychology. Due to the vagueness encountered in a manner analogous to human thought, decision makers always exhibit limited rationality. The judgements could be expressed as interval-valued comparison matrices within the framework of analytic hierarchy process. In this study, for additive reciprocal matrices (ARMs), three axiomatic properties are proposed to characterize the additive consistency and the multiplicative consistency under fully rational behavior. For interval additive reciprocal matrices (IARMs), the concept of weak consistency is used to capture the limited rationality. By weakening some axiomatic properties of consistent ARMs, the reasonable properties of IARMs with weak consistency are presented. Two kinds of IARMs satisfying the properties of weak consistency are analyzed and some comparisons are offered. It is observed that the consistency of ARMs can be defined exactly and characterized by using the axiomatic properties. The properties of characterizing the consistency degree of IARMs should be captured by weakening the axiomatic ones of consistent ARMs. The proposed approach visualizes the development process starting from cardinal consistency of numeric-valued preference relations to weak consistency of interval-valued comparison matrices.

[1]  Herbert A. Simon,et al.  Models of Man. , 1958 .

[2]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[3]  Yejun Xu,et al.  Least square completion and inconsistency repair methods for additively consistent fuzzy preference relations , 2012, Fuzzy Sets Syst..

[4]  Enrique Herrera-Viedma,et al.  Confidence-consistency driven group decision making approach with incomplete reciprocal intuitionistic preference relations , 2015, Knowl. Based Syst..

[5]  Enrique Herrera-Viedma,et al.  Average-case consistency measurement and analysis of interval-valued reciprocal preference relations , 2016, Knowl. Based Syst..

[6]  Jana Krej On additive consistency of interval fuzzy preference relations , 2017 .

[7]  Francisco Herrera,et al.  Cardinal Consistency of Reciprocal Preference Relations: A Characterization of Multiplicative Transitivity , 2009, IEEE Transactions on Fuzzy Systems.

[8]  Zeshui Xu,et al.  On Compatibility of Interval Fuzzy Preference Relations , 2004, Fuzzy Optim. Decis. Mak..

[9]  Enrique Herrera-Viedma,et al.  Managing incomplete preference relations in decision making: A review and future trends , 2015, Inf. Sci..

[10]  Hui Zhao,et al.  A decision-making model based on interval additive reciprocal matrices with additive approximation-consistency , 2018, Inf. Sci..

[11]  T. Saaty,et al.  The Analytic Hierarchy Process , 1985 .

[12]  Francisco Herrera,et al.  Some issues on consistency of fuzzy preference relations , 2004, Eur. J. Oper. Res..

[13]  Jian Lin,et al.  Axiomatic property based consistency analysis and decision making with interval multiplicative reciprocal preference relations , 2019, Inf. Sci..

[14]  Yejun Xu,et al.  An overview on managing additive consistency of reciprocal preference relations for consistency-driven decision making and fusion: Taxonomy and future directions , 2019, Inf. Fusion.

[15]  Jana Krejcí,et al.  On extension of multiplicative consistency to interval fuzzy preference relations , 2019, Oper. Res..

[16]  Witold Pedrycz,et al.  An axiomatic approach to approximation-consistency of triangular fuzzy reciprocal preference relations , 2017, Fuzzy Sets Syst..

[17]  Enrique Herrera-Viedma,et al.  Group decision-making based on heterogeneous preference relations with self-confidence , 2017, Fuzzy Optim. Decis. Mak..

[18]  M. Brunelli Introduction to the Analytic Hierarchy Process , 2014 .

[19]  Chunqiao Tan,et al.  Multiplicative consistency analysis for interval fuzzy preference relations: A comparative study , 2017 .

[20]  Witold Pedrycz,et al.  Granulating linguistic information in decision making under consensus and consistency , 2018, Expert Syst. Appl..

[21]  Zeshui Xu,et al.  Note on “Some models for deriving the priority weights from interval fuzzy preference relations” , 2008 .

[22]  T. Tanino Fuzzy preference orderings in group decision making , 1984 .

[23]  Michele Fedrizzi,et al.  On the priority vector associated with a reciprocal relation and a pairwise comparison matrix , 2010, Soft Comput..