Although the classical dividend discount model (DDM) is a wellknown and widely used model in evaluating the intrinsic price of common stock, the practical pattern of dividends, required rate of return or growth rate of dividend do not generally coincide with any of the model’s assumptions. It is just the opportunity to develop a fuzzy logic system that takes these vague parameters into account....

Mathematical, fuzzy logic and artificial neural network modeling of extraction kinetics essential oil from aerial parts yarrow (Achillea millefolium L.) using ohmic-assisted hydrodistillation

This paper is a reply to the article entitled Elkan’s Theoretical Argument, Reconsidered by Prof. Enric Trillas and Prof. Claudi Alsina. I would like to express my thanks to Dr. Piero Bonissone for inviting me to write this paper and for showing me the article by Trillas and Alsina in advance of its publication. Ever since mathematical studies of fuzziness began with a 1965 paper entitled Fuzzy...

CFNN hybrid system in Multi-sensor data fusion introduced fuzzy logic reasoning and neural network adaptive, self-learning ability, and using fuzzy neurons, so networking skills appropriate to adjust the input and output fuzzy membership function, and can dynamically optimize fuzzy reasoning in global by means of compensated logic algorithm, to make the network more fault tolerance, stability a...

Methods of solving the identified environmental problems, considering mathematical rigorous alternative assessment of environmental component process using fuzzy logic and approximate reasoning, are described by various researchers. To illustrate how such a computational intelligence approach would work in performing an assessment, various artificial techniques have been described. Fuzzy system...

This paper introduces a novel fuzzy logic controller design methodology based on the theory of fuzzy constraint network. Despite the successes of rule-based fuzzy logic controller design techniques, this approach represents only a very special case of the expressive power of the rst order predicate calculus (FOPC). The notion of "constraint" has an extremely tie to the concept of the mathematic...

Fuzzy logic has been successfully deployed in many realworld automatic control systems including subway systems, autofocus cameras, washing machines, automobile transmissions, air-conditioners, industrial robots, aerospace, and autonomous robot navigation. In contrast, the use of fuzzy logic in telecommunication systems and networks is recent and limited. Fundamentally, Zadeh’s fuzzy set theory...

The introduction of fuzzy logic in 1965 has been one of the main advancements in the last several decades in different subjects and especially in control theory [1]. Fuzzy logic has given large deals to reasoning, and clearly, shows its applicability in many areas to solve different problems concerning approximate reasoning. However, in large measure what remains unrecognized is that fuzzy logi...

Switched Reluctance Motors (SRMs) are increasingly popular machines in electrical drives, whose performances are directly related to their operating conditions. Their dynamic characteristics vary as conditions change. Recently, several methods of the modeling of the magnetic saturation of SRMs have been proposed as analytical functions. However, the SRM system is nonlinear and cannot be adequat...

Helicopter aviation is a difficult task that requires simultaneous manipulation of several controls in order to achieve a desired movement. Development of knowledge and skills are required for a person to be able to safely and efficiently navigate a helicopter. Therefore, the question was raised on whether there is a possibility to develop a robust agent that will act as an intermediate between...