Abstract
We present several relational frameworks for expressing similarities and preferences in a quantitative way. The main focus is on the occurrence of various types of transitivity in these frameworks. The first framework is that of fuzzy relations; the corresponding notion of transitivity is C-transitivity, with C a conjunctor. We discuss two approaches to the measurement of similarity of fuzzy sets: a logical approach based on biresidual operators and a cardinal approach based on fuzzy set cardinalities. The second framework is that of reciprocal relations; the corresponding notion of transitivity is cycle-transitivity. It plays a crucial role in the description of different types of transitivity arising in the comparison of (artificially coupled) random variables in terms of winning probabilities. It also embraces the study of mutual rank probability relations of partially ordered sets.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Brüggemann, R., Simon, U., Mey, S.: Estimation of averaged ranks by extended local partial order models. MATCH Communications in Mathematical and in Computer Chemistry 54, 489–518 (2005)
Brüggemann, R., Sørensen, P., Lerche, D., Carlsen, L.: Estimation of averaged ranks by a local partial order model. Journal of Chemical Information and Computer Science 4, 618–625 (2004)
David, H.A.: The Method of Paired Comparisons, Griffin’s Statistical Monographs & Courses, vol. 12. Charles Griffin & Co. Ltd., London (1963)
De Baets, B.: Similarity of fuzzy sets and dominance of random variables: a quest for transitivity. In: Della Riccia, G., Dubois, D., Lenz, H.-J., Kruse, R. (eds.) Preferences and Similarities. CISM Courses and Lectures, vol. 504, pp. 1–22. Springer (2008)
De Baets, B., De Meyer, H.: Transitivity-preserving fuzzification schemes for cardinality-based similarity measures. European J. Oper. Res. 160, 726–740 (2005)
De Baets, B., De Meyer, H.: Transitivity frameworks for reciprocal relations: cycle-transitivity versus FG-transitivity. Fuzzy Sets and Systems 152, 249–270 (2005)
De Baets, B., De Meyer, H.: Cycle-transitive comparison of artificially coupled random variables. Internat. J. Approximate Reasoning 96, 352–373 (2005)
De Baets, B., De Meyer, H.: Toward graded and nongraded variants of stochastic dominance. In: Batyrshin, I., Kacprzyk, J., Sheremetov, J., Zadeh, L. (eds.) Perception-based Data Mining and Decision Making in Economics and Finance. SCI, vol. 36, pp. 252–267. Springer (2007)
De Baets, B., De Meyer, H.: On a conjecture about the Frank copula family. Internat. J. of Approximate Reasoning (submitted)
De Baets, B., De Meyer, H., De Loof, K.: On the cycle-transitivity of the mutual rank probability relation of a poset. Fuzzy Sets and Systems 161, 2695–2708 (2010)
De Baets, B., De Meyer, H., De Schuymer, B., Jenei, S.: Cyclic evaluation of transitivity of reciprocal relations. Social Choice and Welfare 26, 217–238 (2006)
De Baets, B., De Meyer, H., Naessens, H.: A class of rational cardinality-based similarity measures. J. Comput. Appl. Math. 132, 51–69 (2001)
De Baets, B., Janssens, S., De Meyer, H.: Meta-theorems on inequalities for scalar fuzzy set cardinalities. Fuzzy Sets and Systems 157, 1463–1476 (2006)
De Baets, B., Janssens, S., De Meyer, H.: On the transitivity of a parametric family of cardinality-based similarity measures. Internat. J. Approximate Reasoning 50, 104–116 (2009)
De Baets, B., Mesiar, R.: Pseudo-metrics and \(\cal T\)-equivalences. J. Fuzzy Math. 5, 471–481 (1997)
De Baets, B., Mesiar, R.: T-partitions. Fuzzy Sets and Systems 97, 211–223 (1998)
De Baets, B., Mesiar, R.: Metrics and \(\cal T\)-equalities. J. Math. Anal. Appl. 267, 531–547 (2002)
De Loof, K., De Baets, B., De Meyer, H.: Approximation of average ranks in posets. MATCH - Communications in Mathematical and in Computer Chemistry 66, 219–229 (2011)
De Loof, K., De Baets, B., De Meyer, H., Brüggemann, R.: A hitchhiker’s guide to poset ranking. Combinatorial Chemistry and High Throughput Screening 11, 734–744 (2008)
De Loof, K., De Meyer, H., De Baets, B.: Graded stochastic dominance as a tool for ranking the elements of a poset. In: Lopéz-DÃaz, M., Gil, M., Grzegorzewski, P., Hyrniewicz, O., Lawry, J. (eds.) Soft Methods for Integrated Uncertainty Modelling. AISC, pp. 273–280. Springer (2006)
De Loof, K., De Meyer, H., De Baets, B.: Exploiting the lattice of ideals representation of a poset. Fundamenta Informaticae 71, 309–321 (2006)
De Loof, K., De Baets, B., De Meyer, H.: Cycle-free cuts of mutual rank probability relations. Computers and Mathematics with Applications (submitted)
De Loof, K., De Baets, B., De Meyer, H., De Schuymer, B.: A frequentist view on cycle-transitivity w.r.t. commutative dual quasi-copulas. Fuzzy Sets and Systems (submitted)
De Meyer, H., De Baets, B., De Schuymer, B.: On the transitivity of the comonotonic and countermonotonic comparison of random variables. J. Multivariate Analysis 98, 177–193 (2007)
De Meyer, H., De Baets, B., De Schuymer, B.: Extreme copulas and the comparison of ordered lists. Theory and Decision 62, 195–217 (2007)
De Meyer, H., Naessens, H., De Baets, B.: Algorithms for computing the min-transitive closure and associated partition tree of a symmetric fuzzy relation. European J. Oper. Res. 155, 226–238 (2004)
De Schuymer, B., De Meyer, H., De Baets, B.: Cycle-transitive comparison of independent random variables. J. Multivariate Analysis 96, 352–373 (2005)
De Schuymer, B., De Meyer, H., De Baets, B., Jenei, S.: On the cycle-transitivity of the dice model. Theory and Decision 54, 264–285 (2003)
Dice, L.: Measures of the amount of ecologic associations between species. Ecology 26, 297–302 (1945)
Durante, F., Sempi, C.: Semicopulæ. Kybernetika 41, 315–328 (2005)
Fishburn, P.: Binary choice probabilities: On the varieties of stochastic transitivity. J. Math. Psych. 10, 327–352 (1973)
Fishburn, P.: Proportional transitivity in linear extensions of ordered sets. Journal of Combinatorial Theory Series B 41, 48–60 (1986)
Genest, C., Quesada-Molina, J.J., RodrÃguez-Lallena, J.A., Sempi, C.: A characterization of quasi-copulas. Journal of Multivariate Analysis 69, 193–205 (1999)
Jaccard, P.: Nouvelles recherches sur la distribution florale. Bulletin de la Sociétée Vaudoise des Sciences Naturelles 44, 223–270 (1908)
Janssens, S., De Baets, B., De Meyer, H.: Bell-type inequalities for quasi-copulas. Fuzzy Sets and Systems 148, 263–278 (2004)
Janssens, S., De Baets, B., De Meyer, H.: Bell-type inequalities for parametric families of triangular norms. Kybernetika 40, 89–106 (2004)
Kahn, J., Yu, Y.: Log-concave functions and poset probabilities. Combinatorica 18, 85–99 (1998)
Kislitsyn, S.: Finite partially ordered sets and their associated sets of permutations. Matematicheskiye Zametki 4, 511–518 (1968)
Klement, E., Mesiar, R., Pap, E.: Triangular Norms. In: Trends in Logic. Studia Logica Library, vol. 8. Kluwer Academic Publishers (2000)
Levy, H.: Stochastic Dominance. Kluwer Academic Publishers, MA (1998)
Maenhout, S., De Baets, B., Haesaert, G., Van Bockstaele, E.: Support Vector Machine regression for the prediction of maize hybrid performance. Theoretical and Applied Genetics 115, 1003–1013 (2007)
Monjardet, B.: A generalisation of probabilistic consistency: linearity conditions for valued preference relations. In: Kacprzyk, J., Roubens, M. (eds.) Non-Conventional Preference Relations in Decision Making. LNEMS, vol. 301. Springer, Berlin (1988)
Moser, B.: On representing and generating kernels by fuzzy equivalence relations. Journal of Machine Learning Research 7, 2603–2620 (2006)
Nelsen, R.: An Introduction to Copulas. Lecture Notes in Statistics, vol. 139. Springer, New York (1998)
Pykacz, J., D’Hooghe, B.: Bell-type inequalities in fuzzy probability calculus. Internat. J. of Uncertainty, Fuzziness and Knowledge-Based Systems 9, 263–275 (2001)
Rogers, D., Tanimoto, T.: A computer program for classifying plants. Science 132, 1115–1118 (1960)
Schweizer, B., Sklar, A.: Probabilistic Metric Spaces. North-Holland (1983)
Sklar, A.: Fonctions de répartition à n dimensions et leurs marges. Publ. Inst. Statist. Univ. Paris 8, 229–231 (1959)
Sneath, P., Sokal, R.: Numerical Taxonomy. WH Freeman, San Francisco (1973)
Sokal, R., Michener, C.: A statistical method for evaluating systematic relationships. Univ. of Kansas Science Bulletin 38, 1409–1438 (1958)
Switalski, Z.: Transitivity of fuzzy preference relations – an empirical study. Fuzzy Sets and Systems 118, 503–508 (2001)
Switalski, Z.: General transitivity conditions for fuzzy reciprocal preference matrices. Fuzzy Sets and Systems 137, 85–100 (2003)
Tanino, T.: Fuzzy preference relations in group decision making. In: Kacprzyk, J., Roubens, M. (eds.) Non-Conventional Preference Relations in Decision Making. LNEMS, vol. 301. Springer, Berlin (1988)
Yu, Y.: On proportional transitivity of ordered sets. Order 15, 87–95 (1998)
Zadeh, L.: Fuzzy sets. Information and Control 8, 338–353 (1965)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
De Baets, B. (2012). The Quest for Transitivity, a Showcase of Fuzzy Relational Calculus. In: Liu, J., Alippi, C., Bouchon-Meunier, B., Greenwood, G.W., Abbass, H.A. (eds) Advances in Computational Intelligence. WCCI 2012. Lecture Notes in Computer Science, vol 7311. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30687-7_8
Download citation
DOI: https://doi.org/10.1007/978-3-642-30687-7_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-30686-0
Online ISBN: 978-3-642-30687-7
eBook Packages: Computer ScienceComputer Science (R0)