Pointwise aggregation of maps: Its structural functional equation and some applications to social choice theory

Abstract We study a structural functional equation that is directly related to the pointwise aggregation of a finite number of maps from a given nonempty set into another. First we establish links between pointwise aggregation and invariance properties. Then, paying attention to the particular case of aggregation operators of a finite number of real-valued functions, we characterize several special kinds of aggregation operators as strictly monotone modifications of projections. As a case study, we introduce a first approach of type-2 fuzzy sets via fusion operators. We develop some applications and possible uses related to the analysis of properties of social evaluation functionals in social choice, showing that those functionals can actually be described by using methods that derive from this setting.

[1]  Humberto Bustince,et al.  A Practical Guide to Averaging Functions , 2015, Studies in Fuzziness and Soft Computing.

[2]  K. Arrow,et al.  Social Choice and Individual Values , 1951 .

[3]  Lotfi A. Zadeh,et al.  Quantitative fuzzy semantics , 1971, Inf. Sci..

[4]  M. Satterthwaite Strategy-proofness and Arrow's conditions: Existence and correspondence theorems for voting procedures and social welfare functions , 1975 .

[5]  Georg Aumann,et al.  Über Räume mit Mittelbildungen , 1944 .

[6]  Daniel Paternain,et al.  First Approach of Type-2 Fuzzy Sets via Fusion Operators , 2014, IPMU.

[7]  Masaharu Mizumoto,et al.  Some Properties of Fuzzy Sets of Type 2 , 1976, Inf. Control..

[8]  Humberto Bustince,et al.  Aggregation functions to combine RGB color channels in stereo matching. , 2013, Optics express.

[9]  A. Gibbard Manipulation of Voting Schemes: A General Result , 1973 .

[10]  Didier Dubois,et al.  Operations in a Fuzzy-Valued Logic , 1979, Inf. Control..

[11]  H. Carter Fuzzy Sets and Systems — Theory and Applications , 1982 .

[12]  Ulrich Krause,et al.  Essentially lexicographic aggregation , 1995 .

[13]  Radko Mesiar,et al.  Meaningful aggregation functions mapping ordinal scales into an ordinal scale: a state of the art , 2009, 0903.2434.

[14]  Antonio Quesada A positional version of Arrow’s theorem , 2005 .

[15]  Juan Carlos Candeal,et al.  Aggregation of Preferences in Crisp and Fuzzy Settings: Functional Equations Leading to Possibility Results , 2011, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[16]  R. Mesiar,et al.  Aggregation operators: new trends and applications , 2002 .

[17]  W. Bossert,et al.  Utility in Social Choice , 2004 .

[18]  Krassimir T. Atanassov,et al.  Intuitionistic fuzzy sets , 1986 .

[19]  Humberto Bustince,et al.  Evolution in time of L-fuzzy context sequences , 2016, Inf. Sci..

[20]  Jerry M. Mendel,et al.  Type-2 fuzzy sets made simple , 2002, IEEE Trans. Fuzzy Syst..

[21]  Radko Mesiar Fuzzy set approach to the utility, preference relations, and aggregation operators , 2007, Eur. J. Oper. Res..

[22]  Mariano Eriz Aggregation Functions: A Guide for Practitioners , 2010 .

[23]  K. Arrow A Difficulty in the Concept of Social Welfare , 1950, Journal of Political Economy.

[24]  Juan Carlos Candeal,et al.  Social evaluation functionals: a gateway to continuity in social choice , 2015, Soc. Choice Welf..

[25]  Elbert A. Walker,et al.  The algebra of fuzzy truth values , 2005, Fuzzy Sets Syst..

[26]  Denis Bouyssou,et al.  Democracy and efficiency: A note on "Arrow's theorem is not a surprising result" , 1992 .

[27]  Graciela Chichilnisky,et al.  Necessary and Sufficient Conditions for a Resolution of the Social Choice Paradox , 1981 .

[28]  Stefan Friedrich,et al.  Topology , 2019, Arch. Formal Proofs.

[29]  Bonifacio Llamazares,et al.  Aggregating preferences rankings with variable weights , 2013, Eur. J. Oper. Res..

[30]  Vicenç Torra,et al.  Aggregation operators , 2007, Int. J. Approx. Reason..

[31]  Juan Carlos Candeal,et al.  The Moebius strip and a social choice paradox , 1994 .

[32]  Juan Carlos Candeal,et al.  Aggregation operators, comparison meaningfulness and social choice , 2016 .

[33]  Francisco Javier Abrisqueta Usaola,et al.  Generalized Abel functional equations and numerical representability of semiorders , 2011 .

[34]  Elbert A. Walker,et al.  The variety generated by the truth value algebra of type-2 fuzzy sets , 2010, Fuzzy Sets Syst..

[35]  Juan Carlos Candeal,et al.  Invariance axioms for preferences: applications to social choice theory , 2013, Soc. Choice Welf..

[36]  Humberto Bustince,et al.  Image thresholding using restricted equivalence functions and maximizing the measures of similarity , 2007, Fuzzy Sets Syst..

[37]  Jerry S. Kelly,et al.  Social Choice Theory: An Introduction , 1988 .

[38]  J. Goguen L-fuzzy sets , 1967 .

[39]  Humberto Bustince,et al.  Construction of image reduction operators using averaging aggregation functions , 2015, Fuzzy Sets Syst..

[40]  János Aczél,et al.  A Functional Equation Arising from Simultaneous Utility Representations , 2003 .

[41]  Robert LIN,et al.  NOTE ON FUZZY SETS , 2014 .

[42]  H. Bustince,et al.  Construction of strong equality index from implication operators , 2013, Fuzzy Sets Syst..

[43]  Philippe Vincke,et al.  Arrow's theorem is not a surprising result , 1982 .

[44]  Radko Mesiar,et al.  A complete description of comparison meaningful functions , 2005, EUSFLAT Conf..

[45]  Francisco Herrera,et al.  Fuzzy Sets and Their Extensions: Representation, Aggregation and Models - Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision , 2007, Fuzzy Sets and Their Extensions: Representation, Aggregation and Models.