This paper contains studies of daily energy production forecasting methods for photovoltaic solar panels (PV panel) by using mathematical and fuzzy logic models. Mathematical models are based on analytic equations that bind PV panel power with temperature radiation. In logic, we use Adaptive-network-based Fuzzy Inference Systems (ANFIS) the zero-order Takagi-Sugeno model (TS) specially selected...

This study intends to expand a set of proper performance evaluation indices which embraces strategies for sustaining top performance using SWOT analysis inside a balanced scorecard (BSC) outline for the large commercial bank branches in IRAN by operating a fuzzy Data Envelopment Analysis (FDEA). Through literature reviews and the banks’ experts and managers opinions and who have real practical ...

Intelligent systems have appeared in many technical areas, such as consumer electronics, robotics and industrial control systems. Many of these intelligent systems are based on fuzzy control strategies which describe complex systems mathematical models in terms of linguistic rules. Since the 1980s new techniques have appeared from which fuzzy logic has been applied extensively in medical system...

This paper presents application of fuzzy logic controller for shunt active power filter to improve power quality in the distribution systems. The main feature of fuzzy logic controller does not require any complex mathematical model of the systems to regulate dc bus capacitor voltage. The reference compensating current has been estimated by unit vector template generation technique. The actual ...

The following are the aims of the paper: (1) To call the attention of the community of Discovery Science to certain existing formal systems for DS developed in Prague in 60's till 80's suitable for DS and unfortunately largely unknown. (2) To illustrate the use of the calculi in question on the example of the GUHA method of hypothesis generation by computer, subjecting this method to a critical...

Fuzziness is often regarded as a special form of uncertainty, possibly related to probability but not necessarily reducible to the latter. Indeed, all the mathematical techniques that have been proposed to model fuzziness are substantially different from probabilistic methods, albeit sometimes loosely similar. As shown in this paper, a particular form of fuzzy logic can be derived from probabil...

Software cost estimation is a challenging and onerous task. Estimation by analogy is one of the expedient techniques in software effort estimation field. However, the methodology utilized for the estimation of software effort by analogy is not able to handle the categorical data in an explicit and precise manner. Early software estimation models are based on regression analysis or mathematical ...

From 1920, when Lukasiewicz established the 3-valued logic, many other versions have been made, with the purpose of improving or generalizing the precedent system. Fuzzy Logic departs from the multi-valued logic point of view, with real truth values in the closed unit interval. Our paper deals, basically, with analogies and differences between fuzzy and rough characters. Therefore, it belongs t...

Zadeh proposed and developed the theory of approximate reasoning in a long series of papers in the 1970’s (see e.g. [28, 29, 30, 31, 32, 34, 35]), at the same time when he introduced possibility theory [33] as a new approach to uncertainty modeling. His original approach is based on a fuzzy set-based representation of the contents of factual statements (expressing elastic restrictions on the po...

Keywords: mathematical fuzzy logic, basic fuzzy logic, monoidal t-norm logic, hoop logic, non-commutative fuzzy logic. This paper is a companion to my [12]. The latter is a rather technical paper developing a generalized (mathematical) fuzzy logic. Main definitions and results of [12] are reproduced here without any proofs; but this is preceded by a survey on the basic proposi-tional fuzzy logi...