FMEA is a systematic process for indentifying potential design or process failure before they occur. The aim is to eliminate them or minimize the risk associated with them. The method is a procedure to analize failure modes and clasified them by severity. It is a systematic process for identifying potential failures before they occur with the intent to eliminate them or minimize the risk associ...

Morphology has a special place in any language, including written and spoken applications. Markov method is used to labeingl and determine the role of words.emergence in software sciences has eliminated 0 and 1 computations, putting them within an infinite space of between 0,1. This characteristic of fuzzy logic has resolved ambiguity in numerous previous problems. The sentence roles in Persian...

Memilih program studi bukanlah hal yang mudah. Karena jika salah dalam menentukan akan diambil maka berpengaruh terhadap motivasi belajar, lamanya masa melebihi dari standar berlaku, bahkan ada juga mengalami kegagalan. Dengan adanya Penentuan studi, diharapkan setiap mahasiswa dapat lebih fokus pada minat dan kemampuan dimiliki. Penerapan Fuzzy Inference System (FIS) metode Tsukamoto digunakan...

A new fast defuzzification method is presented. It is based on estimating the centroid position by fitting the fuzzy output shape into one single triangle. In regard to the computational time, this method is comparable to the “Bisector” method and provides better dynamical behavior. This new method was tested to control a second order plant and a benchmark Continuous Stirred Tank Reactor (CSTR).

Ordered fuzzy numbers as generalization of convex fuzzy numbers are defined together with four algebraic operations. For defuzzification operators, that play the main role when dealing with fuzzy controllers and fuzzy inference systems, new representation formulae are given. Step ordered fuzzy numbers are considered. Approximation method based on forward neural networks is presented for determi...

In this paper, we consider a fundamental theoretical question: Is it always possible to design a fuzzy system capable of approximating any real continuous function on a compact set with arbitrary accuracy? Moreover, we research whether the answer to the above question is positive when we restrict to a fixed (but arbitrary) type of fuzzy reasoning and to a subclass of fuzzy relations. This resul...

The methods of assessing the individuals’ performance usually applied in practice are based on principles of the bivalent logic (yes-no). However, fuzzy logic, due to its nature of including multiple values, offers a wider and richer field of resources for this purpose. In this paper we use principles of fuzzy logic in developing a new method for assessing the performance of groups of individua...

Abstract A fuzzy EOQ model with backorders is considered in which the costs like setup, holding and penalty price are assumed as triangular FN (fuzzy numbers). Graded mean integration approach more simple accurate employed to defuzzify cost functions. The illustrated numerical examples compute optimal values.

Software reliability estimation using fuzzy logic is shown in this article. The suggested approach tries to assign target dependability each of its parts. initial stage estimating combine the aspects experts proposed method. system’s element proportionality evaluated second phase. Employing equations defuzzification, system ele- ments undergo process defuzzification. We must compute weightage s...