A non-linear multi-objective transportation problem (NMOTP) refers to a special class of non-linear multi-objective problems. In this paper we review goal programming (GP) and fuzzy programming (FP) as two approaches for solving (NMOTP). Meanwhile, by extending Mohamed’s idea about fuzzy goal programming (FGP), we propose a fuzzy goal programming approach to solve the non-linear multi-objective...

web usage mining (wum) is the automatic discovering of hidden informationof user access pattern from the web log data. frequent pattern discovery is one ofthe main techniques in wum that can be used to implement recommender systems,forecast user`s navigational behaviour, and personalize web sites. many algorithmshave been suggested on obtaining frequent user navigation patterns. this paperprese...

Function Points is an important and well-accepted software size metric. However, it is absolutely essential to accurately calibrate Function Point (FP), whose aims are to fit specific software application, to reflect software industry trend, and to improve cost estimation. Neuro-Fuzzy is a technique that incorporates the learning ability from neural network and the ability to capture human know...

The precision of equivalent circuit model (ECM)-based state charge (SoC) estimation methods is vulnerable to the variation battery parameters, due several internal and external factors. In this regard, study proposes a fuzzy logic method for approximate ECM parameters at different temperatures SoC levels. inference system designed handle non-linear deviation from their reference values. On basi...

The need to update the calibration of Function Point (FP) complexity weights is discussed, whose aims are to fit specific software application, to reflect software industry trend, and to improve cost estimation. Neuro-Fuzzy is a technique that incorporates the learning ability from neural network and the ability to capture human knowledge from fuzzy logic. The empirical validation using ISBSG d...

In this paper we present the logic FP (! Ln, ! L) which allows to reason about the probability of fuzzy events formalized by means of the notion of state in a MValgebra. This logic is defined starting from a basic idea exposed by Hájek in [13]. Two kinds of semantics have been introduced, namely the class of weak and strong probabilistic models. The main result of this paper is a completeness t...

In data mining, the association rules are used to find for the associations between the different items of the transactions database. As the data collected and stored, rules of value can be found through association rules, which can be applied to help managers execute marketing strategies and establish sound market frameworks. This paper aims to use Fuzzy Frequent Pattern growth (FFP-growth) to...

In this study, some (fuzzy) filters of a Sheffer stroke BL-algebra and its properties are presented. To show relationship between filter fuzzy BL-algebra, we prove that f is (ultra) C if only fp either empty or for each p ∈ [0, 1], it satisfied = f(1) the characteristic function nonempty subset BL-algebra.

Intuitionistic fuzzy sets (IFSs) can effectively represent and simulate the uncertainty diversity of judgment information offered by decision-makers (DMs). In comparison to (FSs), IFSs are highly beneficial for expressing vagueness more accurately. As a result, in this research work, we offer an approach solving group decision-making problems (GDMPs) with parameterized intuitionistic multi N-so...

In the current paper we study the reasoning problem for fuzzy SI (f-SI) under arbitrary continuous fuzzy operators. Our work can be seen as an extension of previous works that studied reasoning algorithms for f-SI, but focused on specific fuzzy operators, e.g. fKD-SI and of reasoning algorithms for less expressive fuzzy DLs, like fL-ALC and fP -ALC (fuzzy ALC under the Lukasiewicz and product f...