Abstract
A fuzzy logic advisor (FLA), which is a nonlinear device that accepts numeric measurements as inputs and provides a linguistic value at its output, is developed for one specific type of social judgment, judgments of flirtation. Qualitative and quantitative descriptions of the FLA and a nine step methodology for designing the FLA are given. The FLA is compared against traditional regression models; it provides at least an order of magnitude better performance, which demonstrates that a FLA may indeed be applied to enhance our predictability of social judgments above and beyond that provided using traditional linear models. The implications and applications of such FLAs for assessing social judgments are discussed. Finally, why this is just a “first attempt” is explained.
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Mendel, J.M., Murphy, S., Miller, L.C., Martin, M., Karnik, N. (1999). The Fuzzy Logic Advisor for Social Judgments: A First Attempt. In: Zadeh, L.A., Kacprzyk, J. (eds) Computing with Words in Information/Intelligent Systems 2. Studies in Fuzziness and Soft Computing, vol 34. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1872-7_22
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DOI: https://doi.org/10.1007/978-3-7908-1872-7_22
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