In this paper, we suggested an utility learning algorithm for tuning fuzzy rules by using training inputoutput data, based on the gradient descent method. The major advantage of this method is that fuzzy rules or membership functions can be learned without changing the form of the fuzzy rule table used in usual fuzzy controls, so that the case of weak-firing can be avoided well, which is differ...

In this paper we consider the control problem of Dynamic Positioning Systems for Ships (DPSS). It interests as a case which study in nonlinear controller design because the model exhibits nonlinear interaction in three degrees of freedom (surge, sway, and yaw) by means of main propellers aft of the ship. The DPSS system considered in this paper is modeled by a Takagi-Sugeno (T-S) type fuzzy mod...

An approach based on interval belief degrees and fuzzy evidential reasoning analytical algorithm is developed for multi-criteria decision problems with uncertainties. The criteria weights are represented by interval numbers and criteria values by triangular intuitionistic fuzzy numbers. The proposed approach does not need to utilize the theories such as arithmetic operations for Triangular intu...

In this paper, we combine fuzzy calculus, and conformable calculus to introduce the calculus. We define derivative of order $2\Psi $ generalize it derivatives $p\Psi $. Several properties on difference, product, sum, addition two fuzzy-valued functions are provided which used in solution differential equations. Also, examples each case given illustrate utility our results.

We present a model of fuzzy logic programming with best answer semantics as an optimization task and discuss various utility function problems.

The main focus in the IT utility computing is services and service levels. In order to make successful services and to meet service level objectives while at the same time to stay in a competitive edge, service providers have to make intelligent utility allocation in a distributed on-demand virtual resources paradigm. In this paper we propose a fuzzy resource allocation approach in which a Fuzz...

This paper describes the utility of fuzzy Simulink model to assess the groundwater quality levels in Tiruchirappalli city, S. India. Water quality management is an important issue in the modern times. The study aimed at examining the influence of multiple parameters of ground water on potable quality. The data collected for Tiruchirappalli city have been utilized to develop fuzzy Simulink appro...

The paper presents a generic procedure for construction of multi-dimensional utility in the case of mutual utility independence of base vector attributes, and of fuzzy rationality (i.e. when preferences of the decision maker only partially obey the rationality axioms). The procedure incorporates techniques for direct elicitation of multi-dimensional utilities, techniques for elicitation of one-...