Aggregation of ordinal information

Alsina C., Trillas E., Valverde L. (1983). On some logical connectives for fuzzy set theory. Journal of Mathematical Analysis and Applications 93, 15–26 De Baets B. (1998). Uninorms: The known classes. In: Ruan D., Abderrahim H.A., D’hondt P., Kerre E. (eds) Fuzzy logic and intelligent technologies for nuclear science and industry. Singapore, World Scientific, pp.21–28 De Baets, B., & Fodor, J. (1997). On the structure of uninorms and their residual implicators. Proc. Eighteenth Linz Seminaron Fuzzy Set Theory: Linz, Austria, pp. 81–87. Dubois D., Fargier H., Prade H. (1996). Refinements of the maximin approach to fuzzy decision making. Fuzzy Sets and Systems 81: 103–122 Dubois, D., Kaci, S., & Prade, H. (2004). Bipolarity in reasoning and decision—an introduction. The case of the possibility framework. In Proc. of the 10th International Conf. on Information processing and the management of uncertainty in knowledge-based systems (IPMU) (pp. 959–966). Perugia, Italy. Fodor J.C., Yager R.R., Rybalov A. (1997). Structure of uni-norms. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 5, 411–427 Grabisch M., Labreuche C. (2005). Bi-capacities—parts I and II. Fuzzy Sets and Systems 151: 211–260 Janssens S., De Baets B., De Meyer H. (2004). Bell-type inequalities for quasi-copulas. Fuzzy Sets and Systems 148: 263–278 Klement E.P., Mesiar R., Pap E. (2000). Triangular norms. Dordrecht, Kluwer Academic Publishers Murofushi, T., & Sugeno, M. (2000). Fuzzy measures and fuzzy integrals. In Grabisch, M., Murofushi, T., & Sugeno, M. (Eds.) Fuzzy measures and integrals. Heidelberg, Physica-Verlag, pp. 3–41 Yager R.R. (1980). Extending Nash’s bargaining model to include importance for multiple objective decision making. IEEE Transactions on Systems, Man and Cybernetics 10, 405–407 Yager R.R. (1981). A new methodology for ordinal multiple aspect decisions based on fuzzy sets. Decision Sciences 12, 589–600 Yager R.R. (1992). Applications and extensions of OWA aggregations. International Journal of Man–Machine Studies 37, 103–132 Yager R.R. (1996). Structures generated from weighted fuzzy intersection and union. Journal of the Chinese Fuzzy Systems Association 2, 37–58 Yager R.R. (2002). Ordinal decision making with a notion of acceptable: Denoted ordinal scales. In Lin T.Y., Yao Y.Y. & Zadeh L.A. (eds). Data mining, rough sets and granular computing. Heidelberg, Physica-Verlag, pp. 98–413 Yager R.R. (2003). Generalized triangular norm and conorm aggregation operators on ordinal spaces. International Journal of General Systems 32, 475–490 Yager R.R. (2004). Weighted triangular norms using generating functions. International Journal of Intelligent Systems 19, 217–231 Yager R.R. (2006). Modeling holistic fuzzy implication operators using co-copulas. Fuzzy Optimization and Decision Making 5, 207–226 Yager R.R., Rybalov A. (1996). Uninorm aggregation operators. Fuzzy Sets and Systems 80, 111–120 Yager R.R., Walker C.L., Walker E.A. (2005). Generalizing leximin to t-norms and t-conorms: The LexiT and LexiS orderings. Fuzzy Sets and Systems 151, 327–340 Zadeh L.A. (2000). Toward a logic of perceptions based on fuzzylogic. In: Novak W., Perfilieva I. (eds). Discovering the world with fuzzy logic. Heidelberg, Physica-Verlag, pp. 4–28 Zadeh L.A. (2002). Toward a perception-based theory of probabilistic reasoning with imprecise probabilities. Journal of Statistical Planning and Inference 105, 233–264 Zadeh L.A. (2005). Toward a generalized theory of uncertainty (GTU)—an outline. Information Sciences 172: 1–40 Zaruda J.M. (1992). Introduction to artificial neural systems. St Paul, MN, West Publishing Co.