Choosing Fuzzy Operators for Real-life Engineering Applications
Makaleler > Tam Makale · 2017
Yazarlar: Ahmet EGESOY
Turkish Journal of Fuzzy Systems, Diğer Kurumların Hakemli Dergileri, Uluslararası, Scopus, 2017, cilt 8, ss 73-89
Özet
<p><span style="left: 141.84px; top: 470.863px; font-size: 20px; font-family: sans-serif; transform: scaleX(0.882736);">This work is induced and inspired by the initial domain engi</span><span style="left: 651.517px; top: 470.863px; font-size: 20px; font-family: sans-serif; transform: scaleX(0.894717);">neering activities of our </span><span style="left: 141.84px; top: 493.863px; font-size: 20px; font-family: sans-serif; transform: scaleX(0.911241);">ongoing project on model</span><span style="left: 361.88333333333327px; top: 493.8633333333333px; font-size: 20px; font-family: sans-serif;">-</span><span style="left: 368.483px; top: 493.863px; font-size: 20px; font-family: sans-serif; transform: scaleX(0.902752);">driven software development automation that aims using </span><span style="left: 141.84px; top: 516.863px; font-size: 20px; font-family: sans-serif; transform: scaleX(0.916448);">fuzzy inference methods for a design and programming environment that is expected to </span><span style="left: 141.84px; top: 539.863px; font-size: 20px; font-family: sans-serif; transform: scaleX(0.896577);">provide intelligent guidance for software development. Software e</span><span style="left: 696.317px; top: 539.863px; font-size: 20px; font-family: sans-serif; transform: scaleX(0.905875);">ngineering domain </span><span style="left: 141.84px; top: 562.863px; font-size: 20px; font-family: sans-serif; transform: scaleX(0.909901);">contains uncertainty and imprecision that intrinsically bring about the use of fuzzy </span><span style="left: 141.84px; top: 585.863px; font-size: 20px; font-family: sans-serif; transform: scaleX(0.903401);">values. However the complexity and abstract nature of the concepts and decisions of the </span><span style="left: 141.84px; top: 608.863px; font-size: 20px; font-family: sans-serif; transform: scaleX(0.915295);">engineering domain often renders classical fuzzy logic insufficie</span><span style="left: 727.917px; top: 608.863px; font-size: 20px; font-family: sans-serif; transform: scaleX(0.903399);">nt. When the </span><span style="left: 141.84px; top: 631.863px; font-size: 20px; font-family: sans-serif; transform: scaleX(0.888359);">conventional fuzzy logic approach is found not to be appropriate for a certain task, </span><span style="left: 141.84px; top: 654.863px; font-size: 20px; font-family: sans-serif; transform: scaleX(0.918287);">switching to a more suitable t</span><span style="left: 378.8833333333333px; top: 654.8633333333331px; font-size: 20px; font-family: sans-serif;">-</span><span style="left: 385.483px; top: 654.863px; font-size: 20px; font-family: sans-serif; transform: scaleX(0.940851);">norm/t</span><span style="left: 438.88333333333327px; top: 654.8633333333331px; font-size: 20px; font-family: sans-serif;">-</span><span style="left: 445.483px; top: 654.863px; font-size: 20px; font-family: sans-serif; transform: scaleX(0.901232);">conorm function pair is a challenge. In some cases </span><span style="left: 141.84px; top: 677.863px; font-size: 20px; font-family: sans-serif; transform: scaleX(0.851774);">it may even be a necessity to extend the existing framework of fuzzy </span><span style="left: 719.917px; top: 677.863px; font-size: 20px; font-family: sans-serif; transform: scaleX(0.903065);">logic with other </span><span style="left: 141.84px; top: 700.863px; font-size: 20px; font-family: sans-serif; transform: scaleX(0.876352);">forms of knowledge representation. In this work we attempt to provide a geometrical </span><span style="left: 141.84px; top: 723.863px; font-size: 20px; font-family: sans-serif; transform: scaleX(0.865707);">semantics for the three common t</span><span style="left: 423.0833333333333px; top: 723.8633333333331px; font-size: 20px; font-family: sans-serif;">-</span><span style="left: 429.683px; top: 723.863px; font-size: 20px; font-family: sans-serif; transform: scaleX(0.875926);">norm functions in order to put theory and practice </span><span style="left: 141.84px; top: 746.863px; font-size: 20px; font-family: sans-serif; transform: scaleX(0.921912);">into a common perspective. Probability, distance, aggregation and other</span><span style="left: 779.567px; top: 746.863px; font-size: 20px; font-family: sans-serif; transform: scaleX(0.888456);">semantic </span><span style="left: 141.84px; top: 769.897px; font-size: 20px; font-family: sans-serif; transform: scaleX(0.883649);">metaphors are also assessed via direct practical considerations. Our work that aims </span><span style="left: 141.84px; top: 792.897px; font-size: 20px; font-family: sans-serif; transform: scaleX(0.876446);">faithful representation of concepts and reliable decision taking processes is hoped to </span><span style="left: 141.84px; top: 815.897px; font-size: 20px; font-family: sans-serif; transform: scaleX(0.923266);">contribute to the generality and scalability of fuzzy programming.</span></p>