Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

This paper aims to develop a new idea for the classification of power quality disturbances. The method is based on Stockwell’s-Transform (ST) and Type-2 Fuzzy Kernel Support Vector Machine (T2FK-SVM). Through the introduction of ST and its properties, we ...

 In this article, a technique to construct a new type of topological structures by graphs called topological graphs is introduced. We use the concept of a homeomorphism between topological graphs as a topological property to prove the isomorphic between ...

 Energy consumption and performance metrics have become critical issues for scheduling parallel task-based applications in high-performance computing systems such as cloud datacenters. The duplication and clustering strategy, as well as Dynamic Voltage ...

In this paper, the concepts of (L, M)-fuzzy internal relations and (L, M)-fuzzy enclosed relations between two L-fuzzy sets are introduced. They are defined respectively to be M-fuzzy subsets of L^X × L^X satisfying a set of axioms. A categorical approach ...

Methods for detecting overlapping communities are essential for understanding complex network structures and extracting implied information. Traditional community detection algorithms have been proven to be unsatisfactory when the network community ...

In this paper, we redefine the concept of prime L-fuzzy ideals of an ordered semigroup so that the prime L-fuzzy ideals are not necessarily 2-valued. Then a topological space, called the spectrum of prime L-fuzzy ideals of an ordered semigroup, has been ...

There are various high-dimensional engineering and scientific applications in communication, control, robotics, computer vision, biometrics, etc.; where researchers are facing predicament to fabricate an intelligent and robust neural system which can ...

— In this paper, new concepts are introduced to enhance the process of block identification in fuzzy graphs using sum distance metric and special type of cycles, which is called a strongest strong cycle, locamin cycle. An Algorithm is developed for ...

The purpose of this paper is to examine and evaluate a new mathematical model of vehicle routing problem in order to optimize fuel consumption and maximize commercial profitability under the conditions of uncertainty of distributor service to customers ...

 The Decision making has been a major research topic in the computing literature for so long due to its vast significance in many real-world applications. Traditional fuzzy decision making (FDM) approaches have limitations due to the inability of the type-...

Since the density distribution of each view, which can be often built only from the corresponding partial data observed along each view from the whole face data, ignores the coherent information between all the views, multi-view face recognition sometimes ...

This paper presents a multi-objective model for the closed-loop supply chain network design (CLSCND) with a price-dependent demand while considering random disruptions and shortage. This network consists of suppliers, production centers, collection/...

An isolated network with Wind Turbine implemented by Double Fed Induction Generator (WTDFIG) that maintaining different electrical variables in safe ranges following a severe transient condition is always a serious challenge. This paper proposes a control ...

 This paper proposes a fuzzy cognitive map scheme for real-time online data prediction. The fuzzy cognitive maps (FCMs) are constructed on the basis of abstracting a numerical time series into a limited number of nodes (concepts), and used as a modeling ...

 An information system as a database that shows relationships between objects and attributes is a crucial mathematical model in the field of artificial intelligence. A real-valued information system is an information system where information function ...

A set-valued information system is the generalization of a single-valued information system and its information structures reflect the internal features of this kind of information system. This paper investigates information structures in a set-valued ...

Interval valued fuzzy c-means (IVFCM) clustering algorithm is one of effective clustering algorithms. When applied to image segmentation, IVFCM includes three problems as follows: (1) It is sensitive to the initial values of algorithm and may easily fall ...

The extension of rough set model is a crucial and vast research direction in rough set theory. Meanwhile decision making can be considered as a mental process in which human beings make a choice among several alternatives. However, with the increasing ...

In this paper, we introduce the notions of an almost φ-fuzzy subalgebra and an almost φ-fuzzy semi-ideal in groupoids by using the concept of a function. This concepts are generalizations of a fuzzy subalgebra and a fuzzy ideal in groupoids respectively. ...

This paper proposes a novel symbolic representation method of feature extraction for fault diagnosis and condition monitoring. The Symbolic Aggregate approXimation (SAX) technique basically transforming real-valued time series into symbol sequences, has ...

Movements of objects take place in different contexts and their trajectories are highly influenced by the contexts. Several studies have been conducted in the last decade on similarity measuring of raw trajectories, but very few have used context ...

This article considers an EOQ model for a delayed deteriorating item in which the demand varies with time and follows a power pattern. Shortages are allowed with partially backlogged and lost sales. We develop a mathematical model for the problem.The ...

Preference relations as information representation form are widely used to manage complexity and uncertainty in practical decision-making cases. Intuitionistic trapezoidal fuzzy numbers (ITrFNs) can convey more fuzzy messages than other fuzzy numbers. ...

 As a new and promising swarm intelligence algorithm, brain storm optimization (BSO) has drawn more attention of researches and has been successfully applied to solve the real-world optimization problems. However, too many parameters make the algorithm ...

 For non-intrusive power load monitoring problem, the key trouble is that there contains complex multiple types of appliances in a power load environment. In this study, two key suppositions are firstly introduced: (1) the signal characteristics should ...

Neutrosphic sets define the uncertainty with three parameters, namely truthiness, indeterminacy and falsity. COmbinative Distance-based ASsessment (CODAS) method computes the Euclidean as the primary measure and Hamming distances as the secondary measure ...

Linear regression models with fuzzy independent variables and crisp parameters are considered in this paper. The constant term may be fuzzy. It is determined using calculus of variations. Sometimes linear regression models do not satisfy the conditions ...

Since data mining plays a key role in a variety of research areas including audio processing, text processing, and machine translation, research efforts in the Persian language has been seriously challenging. Due to difficulties such as clinging letters ...

Social networks or social media is an online platform for billons of people around the world. This platform makes it easier for the people to have conversations, share information, share videos, instant messaging, create virtual world and more. The most ...

This paper addresses the problem of Face Recognition based on Image Set (FRIS) by kernel learning and proposed an extended kernel discriminant analysis framework for FRIS. By support vector machine learning, an image set from the original input space is ...