Jurnal : Mamdani fuzzy systems for modeling and simulation: A critical assessment
(Jurnal Teknik Informatika)
ABSTRACT
Mamdani systems can incorporate expert knowledge about an input-output relation in the form of IF-THEN rules expressed in natural language. This is a particularly attractive feature for modeling and simulation, but is also one that can be easily misused. Focusing on applied modeling and simulation, this paper discusses why Mamdani systems are not a useful tool to explore the logical consequences of the set of rules used to build them. In the best-case scenario, Mamdani systems provide one of the functions that comply with the specified set of rules, which is a completely different exercise from that of finding the input-output relation implied by the specified set of rules. In general, the logical consequences of a set of IF-THEN rules cannot be captured by a single function. Furthermore, the consequences of including an IF-THEN rule in a Mamdani system can be very different from the consequences of such an inclusion in a system governed by the most basic principles of logical deductive inference. While previous analyses have typically focused on particular steps of the Mamdani process, here we present a holistic approach, explained and illustrated with simple cases and examples
1.INTRODUCTION
This paper discusses Mamdani �also called max-min�fuzzy systems as a tool for modeling and simu-lation. It is intended for scientists exploring the pos-sibilities of this technique. The paper does not pro-vide new results in the field of fuzzy logic; it summa-rizes previous knowledge, as well as the experience gathered by the authors after having approached this technique in order to design and analyze some simu-lation models. The discussionis based on simple cas-es and examples, and is intended to be accessible to researchers who are not experts in fuzzy logic. Mamdani systems have proven to be a very use-ful tool for function approximation; in this paper we analyze their potential usefulness as tools for logical deductive inference. Mamdani systems are most of-ten classified as a form of Approximate Reasoning, which has been defined as �the process or processes by which a possible imprecise conclusion is deduced from a collection of imprecise premises� [29]. This categorization, together with the fact that the core component of a Mamdani system is a set of IF-THEN rules,
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Kata Kunci : Jurnal Mamdani fuzzy systems, sistem pendukung keputusan, SPK, Jurnal Teknik Informatika, Jurnal Skripsi, Jurnal, Contoh Jurnal, Skripsi Teknik Informatika, Contoh Skripsi Teknik Informatika ,Contoh Skripsi, Skripsi.
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