A general unified framework for interval pairwise comparison matrices

Abstract Interval Pairwise Comparison Matrices have been widely used to account for uncertain statements concerning the preferences of decision makers. Several approaches have been proposed in the literature, such as multiplicative and fuzzy interval matrices. In this paper, we propose a general unified approach to Interval Pairwise Comparison Matrices, based on Abelian linearly ordered groups. In this framework, we generalize some consistency conditions provided for multiplicative and/or fuzzy interval pairwise comparison matrices and provide inclusion relations between them. Then, we provide a concept of distance between intervals that, together with a notion of mean defined over real continuous Abelian linearly ordered groups, allows us to provide a consistency index and an indeterminacy index. In this way, by means of suitable isomorphisms between Abelian linearly ordered groups, we will be able to compare the inconsistency and the indeterminacy of different kinds of Interval Pairwise Comparison Matrices, e.g. multiplicative, additive, and fuzzy, on a unique Cartesian coordinate system.

[1]  L. D'Apuzzo,et al.  A general unified framework for pairwise comparison matrices in multicriterial methods , 2009 .

[2]  Bice Cavallo,et al.  Reciprocal transitive matrices over abelian linearly ordered groups: Characterizations and application to multi-criteria decision problems , 2015, Fuzzy Sets Syst..

[3]  R. L. Keeney,et al.  Decisions with Multiple Objectives: Preferences and Value Trade-Offs , 1977, IEEE Transactions on Systems, Man, and Cybernetics.

[4]  Zhou-Jing Wang,et al.  Goal programming approaches to deriving interval weights based on interval fuzzy preference relations , 2012, Inf. Sci..

[5]  Witold Pedrycz,et al.  Limited Rationality and Its Quantification Through the Interval Number Judgments With Permutations , 2017, IEEE Transactions on Cybernetics.

[6]  Fanyong Meng,et al.  A new consistency concept for interval multiplicative preference relations , 2017, Appl. Soft Comput..

[7]  Fang Liu,et al.  A goal programming model for incomplete interval multiplicative preference relations and its application in group decision-making , 2012, Eur. J. Oper. Res..

[8]  Zeshui Xu,et al.  Preference Relations Based on Intuitionistic Multiplicative Information , 2013, IEEE Transactions on Fuzzy Systems.

[9]  Zhou-Jing Wang,et al.  A multi-step goal programming approach for group decision making with incomplete interval additive reciprocal comparison matrices , 2015, Eur. J. Oper. Res..

[10]  Zhou-Jing Wang,et al.  Acceptability analysis and priority weight elicitation for interval multiplicative comparison matrices , 2016, Eur. J. Oper. Res..

[11]  E. Zermelo Die Berechnung der Turnier-Ergebnisse als ein Maximumproblem der Wahrscheinlichkeitsrechnung , 1929 .

[12]  Ralph L. Keeney,et al.  Decisions with multiple objectives: preferences and value tradeoffs , 1976 .

[13]  Zhou-Jing Wang,et al.  A note on "A goal programming model for incomplete interval multiplicative preference relations and its application in group decision-making" , 2015, Eur. J. Oper. Res..

[14]  Bice Cavallo,et al.  Deriving weights from a pairwise comparison matrix over an alo-group , 2011, Soft Computing.

[15]  Zeshui Xu,et al.  Intuitionistic preference relations and their application in group decision making , 2007, Inf. Sci..

[16]  R. Baker Kearfott,et al.  Introduction to Interval Analysis , 2009 .

[17]  Zhou-Jing Wang,et al.  Logarithmic least squares prioritization and completion methods for interval fuzzy preference relations based on geometric transitivity , 2014, Inf. Sci..

[18]  Jürgen Landes,et al.  Min-max decision rules for choice under complete uncertainty: Axiomatic characterizations for preferences over utility intervals , 2014, Int. J. Approx. Reason..

[19]  Michele Fedrizzi,et al.  Axiomatic properties of inconsistency indices for pairwise comparisons , 2013, J. Oper. Res. Soc..

[20]  Bice Cavallo,et al.  Characterizations of consistent pairwise comparison matrices over abelian linearly ordered groups , 2010, Int. J. Intell. Syst..

[21]  Peter C. Fishburn,et al.  Preference Structures and Their Numerical Representations , 1999, Theor. Comput. Sci..

[22]  Fang Liu,et al.  Acceptable consistency analysis of interval reciprocal comparison matrices , 2009, Fuzzy Sets Syst..

[23]  R. Hämäläinen,et al.  Preference programming through approximate ratio comparisons , 1995 .

[24]  Matteo Brunelli,et al.  Studying a set of properties of inconsistency indices for pairwise comparisons , 2015, Ann. Oper. Res..

[25]  Ronald R. Yager,et al.  Structure of Uninorms , 1997, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[26]  Hend Dawood,et al.  Theories of Interval Arithmetic: Mathematical Foundations and Applications , 2011 .

[27]  Jacek Szybowski,et al.  Inconsistency indicator maps on groups for pairwise comparisons , 2015, Int. J. Approx. Reason..

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

[29]  Zhiming Zhang,et al.  Logarithmic least squares approaches to deriving interval weights, rectifying inconsistency and estimating missing values for interval multiplicative preference relations , 2017, Soft Comput..

[30]  Bice Cavallo,et al.  Investigating Properties of the ⊙-Consistency Index , 2012, IPMU.

[31]  Linda M. Haines,et al.  A statistical approach to the analytic hierarchy process with interval judgements. (I). Distributions on feasible regions , 1998, Eur. J. Oper. Res..

[32]  Bice Cavallo,et al.  Ensuring reliability of the weighting vector: Weak consistent pairwise comparison matrices , 2016, Fuzzy Sets Syst..

[33]  Massimo Squillante,et al.  About a consistency index for pairwise comparison matrices over a divisible alo‐group , 2012, Int. J. Intell. Syst..

[34]  G. Fliedner,et al.  Comparison of the REMBRANDT system with analytic hierarchy process , 1995 .

[35]  Matteo Brunelli,et al.  Recent Advances on Inconsistency Indices for Pairwise Comparisons - A Commentary , 2015, Fundam. Informaticae.

[36]  Etienne E. Kerre,et al.  On the relationship between some extensions of fuzzy set theory , 2003, Fuzzy Sets Syst..

[37]  Jian Chen,et al.  Consistency and consensus improving methods for pairwise comparison matrices based on Abelian linearly ordered group , 2015, Fuzzy Sets Syst..

[38]  Zhou-Jing Wang,et al.  Uncertainty index based consistency measurement and priority generation with interval probabilities in the analytic hierarchy process , 2015, Comput. Ind. Eng..

[39]  Zeshui Xu,et al.  Priority Weight Intervals Derived From Intuitionistic Multiplicative Preference Relations , 2013, IEEE Transactions on Fuzzy Systems.

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

[41]  T. L. Saaty A Scaling Method for Priorities in Hierarchical Structures , 1977 .

[42]  Jian-Bo Yang,et al.  Interval weight generation approaches based on consistency test and interval comparison matrices , 2005, Appl. Math. Comput..

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

[44]  Ronald R. Yager,et al.  Uninorm aggregation operators , 1996, Fuzzy Sets Syst..

[45]  Theodor J. Stewart,et al.  Multiple criteria decision analysis - an integrated approach , 2001 .

[46]  J. Kacprzyk Group decision making with a fuzzy linguistic majority , 1986 .

[47]  John B. Fraleigh A first course in abstract algebra , 1967 .

[48]  Fang Liu,et al.  A partner-selection method based on interval multiplicative preference relations with approximate consistency , 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

[49]  Luis G. Vargas,et al.  Preference simulation and preference programming: robustness issues in priority derivation , 1993 .

[50]  Xiao Zhang,et al.  Multi-confidence rule acquisition and confidence-preserved attribute reduction in interval-valued decision systems , 2014, Int. J. Approx. Reason..

[51]  Jaroslav Ramík,et al.  Pairwise comparison matrix with fuzzy elements on alo-group , 2015, Inf. Sci..

[52]  Daniele Mundici,et al.  Interval MV-algebras and generalizations , 2014, Int. J. Approx. Reason..

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

[54]  Luis G. Vargas,et al.  Uncertainty and rank order in the analytic hierarchy process , 1987 .

[55]  Fujun Hou,et al.  A Multiplicative Alo-group Based Hierarchical Decision Model and Application , 2016, Commun. Stat. Simul. Comput..