Fig. 3 Total silicon area versus number of inputs (n), with number of fuzzy sets constant List of Symbols n Number of inputs p Number of fuzzy sets A f Device area for fuzzifier circuit A m Device area for multiplier circuit A tad Total active device area A ts Total silicon area A s Device area for a summer circuit A ic Device area of intersection block A ti Total area for interconnect λ scalea...

This work describe a fuzzy inference system to support a musculokeletal disorders diagnosis. The musculokeletal disorders refer to conditions the involve the nerves, tendours, muscles and supporting structures of the body. Nowadays it is observed a increasing in the number of occupational injures and illness. The linguistic variables and rules of the systems were associated to the disease sympt...

A framework of new unified neural and neuro-fuzzy approaches for integrating implicit and explicit knowledge in neuro-symbolic systems is proposed. In the developed hybrid system, training data set is used for building neurofuzzy modules, and represents implicit domain knowledge. On the other hand, the explicit domain knowledge is represented by fuzzy rules, which are directly mapped into equiv...

The information-level integration of suppliers in manufacturing processes becomes a critical requirement in mass customization cycles, where the increasing wealth of product variants may force the production of units of size one. As a consequence, transactional procurement activities should be carried out with the help of flexible automated support tools, in order to adjust production costs, qu...

This paper is the second of two companion papers. The foundations of the proposed method of heuristic constraint enforcement on membership functions for knowledge extraction from a fuzzy/neural architecture was given in Part I. Part II develops methods for forming constraint sets using the constraints and techniques for finding acceptable solutions that conform to all available a priori informa...

Article Info Abstract This paper presents a Hybrid Adaptive Neuro Fuzzy Control technique for speed control of BLDC motor drives. The proposed controller is an integration of adaptive neuro fuzzy, fuzzy PID and PD controllers. The objective is to utilize the best attribute of fuzzy PID and PD controllers, which exhibits a better response than the neuro fuzzy controllers. The error back propagat...

T he concept of fuzzy integral was initiated by Dubois and Prade [11] and then investigated by Kaleva [21], Goetschel and Voxman [20], Nanda [23] and others. In [33], the Henstock integral of fuzzy-valued functions is defined, while the fuzzy Riemann integral and its numerical integration was investigated byWu in [34]. In [7], the authors introduced some quadrature rules for the integral of fuz...

Fourier analysis is a powerful tool for many problems, and especially for solving various differential equations of interest in science and engineering. In the present paper since the utilization of Zadeh's Extension principle is quite difficult in practice, we prefer the idea of level sets in order to construct a fuzzy-valued function on a closed interval via related membership function. We de...

The aim of this paper is to study the integration of multiplicative preference relation as a preference representation structure in fuzzy multipurpose decision-making problems. Assuming fuzzy multipurpose decision-making problems under di4erent preference representation structures (ordering, utilities and fuzzy preference relations) and using the fuzzy preference relations as uniform representa...