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43 articles for “Fuzzy numbers”
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Representation of Knowledge Involving Soft Fuzzy Numbers and Its Application in Decision Making Problems
Abstract: In this study, we introduce the concept of a soft fuzzy number and study its arithmetic operations, a fuzzy number valued measure and an aggregation operator on the collection of soft fuzzy numbers. In real life situations, the perception of characteristic feature of an entity or a collection of entities is expressed by us as soft fuzzy number valued information system, so that the loss of information in understanding the …
Published in Recent Trends in Parallel Computing · Vol. 6, Issue 1, 2019 · pp. 38–47 Read article
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Problem of pricing American Fuzzy Put Option Buyer’s Model for general Trapezoidal Fuzzy Numbers
Abstract: Fuzzy American put option pricing in both discrete and continuous time by using fuzzy random variables and fuzzy expectation based on the decision maker's subjective judgement was studied by Yoshida. American Fuzzy Put Option Model (AFPOM) based on fuzzy risk-neutral probability measure was defined by Muzzioli and Reynaerts using non-overlapping trapezoidal fuzzy numbers. In this study, we introduce a new fuzzy risk-neutral probability measure for a more general class of …
Published in Recent Trends in Parallel Computing · Vol. 6, Issue 1, 2019 · pp. 27–37 Read article
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Applications of Fuzzy Set in Mathematical Programming
Abstract: The Information in today’s world are uncertain and are under circumstances of increased uncertainty so decisions are difficult to be made. There are different techniques to represent these uncertainties. One of the ways of representing it is with the help of Fuzzy Set Theory & Fuzzy Numbers. One of the very fascinating ideas of using fuzzy set in Mathematical programming and linear programming problems has benefited largely in decision-making, in …
Published in Research & Reviews : Journal of Statistics · Vol. 10, Issue 3, 2021 · pp. 24–28 Read article
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Fuzzy Logic and Fuzzy Logic Sun Tracking Control
Abstract: Fuzzy logic could be a rule-based call method that seeks to unravel issues wherever the system is tough to model and where ambiguity or unclearness is thick between two extremes. Mathematical logic permits the system to be outlined by logic equations instead of complicated completely differential equations and comes from a thinking that identifies and takes advantage of the greyness between the 2 extremes. Mathematical logic systems are composed of …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 8, Issue 3, 2021 · pp. 9–19 Read article
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Fuzzy Minimum Spanning Tree Problem: A Greedy Algorithm using Quasi-Gaussian Fuzzy Weights
Abstract: The classical Minimum Spanning Tree Problem (MST) deals with determining the spanning tree in a given undirected graph G(V, E) for which the sum of the weights assigned to the edges is minimum. The weights assigned to the edges are real numbers representing parameters like demand, cost, link capacity and distance which are not naturally precise and the uncertainty involved can be modelled using fuzzy numbers. There are several types …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 1, Issue 3, 2014 · pp. 15–22 Read article
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Big Data Management: Theory & Practice
Abstract: In this paper, Big Data Management is studied. There is finite number of information in Big Data and correspondingly its method of analysis exists. Big Data Analysis (BDA) method is proposed in this paper. A compact method (K-Means Cluster, Generalised K-Means Cluster, C-Means, Fuzzy Means, Fuzzy Numbers, Fuzzy Set, Fuzzy Logic, Neural Network, Genetic Algorithm) based big data analysis is presented in this paper. There are four models are presented …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 7, Issue 2, 2020 · pp. 13–22 Read article
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Compact Method for Analyzing Big Data
Abstract: Big Data Analysis (BDA) method is proposed in this paper. A compact method (K-Means Cluster, Generalised K-Means Cluster, C-Means, Fuzzy Means, Fuzzy Numbers, Fuzzy Set, Fuzzy Logic, Neural Network, Genetic Algorithm) based big data analysis is presented in this paper. There are four models are presented as, probabilistic model, possibility model, fuzzy model and variance model. A compact algorithm is illustrated also in this paper.Keywords: Big Data, K-Means Cluster, Generalised …
Published in Journal of Advanced Database Management & Systems · Vol. 7, Issue 2, 2020 · pp. 5–14 Read article
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Edge Domination Number on Cartesian product of Simple Fuzzy Graphs
Abstract: AbstractIn this paper, we define the concept of edge domination number on Cartesian product of simple fuzzy graphs (G&H). Some results and bounds on edge domination number are derived in fuzzy graph (G×H). We prove some theorems that relate the parameters g(G×H), gcd(G×H) and g¢(G×H). Finally, the relationship between the fuzzy dominator chromatic number and edge domination number on Cartesian product of simple fuzzy graphs are discussed.Keywords: Dominating set, edge …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 4, Issue 1, 2017 · pp. 8–17 Read article
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Measures of Location for Imprecise Data
Abstract: AbstractStatistical analysis is usually done on data sets that contain precise information. However, data obtained may not be precise always. This may be due to vagueness in the process of measurement itself or due to the values being expressed in linguistic terms. Data that are not precise are referred to as imprecise data or fuzzy data. Developing statistical measures for imprecise data has been pursued by researchers during the past …
Published in Research & Reviews : Journal of Statistics · Vol. 2, Issue 3, 2013 · pp. 35–40 Read article
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Determination of Quick Switching Double Sampling System by Attributes under Fuzzy Poisson Distribution: Acceptance Number Tightening
Abstract: AbstractAcceptance sampling plans are used to accept or reject the lots based on the inspection of samples. A mixture of acceptance sampling plans with switching rules for changing from one plan to another are called acceptance sampling schemes. The simple and most generally used sampling scheme is quick switching system (QSS-1). Quick switching system with reference to single sampling plan is a system which requires fewer samples for processes running …
Published in Current Trends in Information Technology · Vol. 7, Issue 3, 2017 · pp. 17–23 Read article
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Risk Assessment in Indian Construction Projects Using Modified Fuzzy Analytic Hierarchy Process
Abstract: Construction projects are initiated in dynamic environment which creates circumstances of high uncertainty and risks due to accumulation of many interrelated parameters. So, the need for establishing a systematic risk assessment for construction projects has increased more than ever before with the additional fact that the construction projects are becoming increasingly complex and dynamic. The aim of this paper is to provide a risk assessment methodology that provides a decision …
Published in Journal of Construction Engineering, Technology & Management · Vol. 7, Issue 2, 2017 · pp. 17–26 Read article
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Job Sequencing with Fuzzy Processing Times using Credibility Theory
Abstract: AbstractIn this paper, a new algorithm to find an optimal sequence of ‘ n ’ jobs that has to be processed through ‘m ’ machines is developed by treating the processing times of jobs on the machines as fuzzy (imprecise) variables. The algorithm is similar to that of Johnson (1954) which considers the processing times as precise in nature. The proposed algorithm makes use of the concepts of ‘Credibility Theory’ …
Published in Research & Reviews : Journal of Statistics · Vol. 2, Issue 1, 2013 · pp. 14–19 Read article
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An Innovative Fuzzy-Enhanced Black Widow Spider Optimization for Energy-Efficient Cluster Communication Through the Selection of the Ideal Cluster Head
Abstract: This paper presents a novel approach to enhance energy efficiency in cluster-based wireless sensor networks (WSNs) by integrating fuzzy logic with the black widow spider optimization (BWSO) algorithm. The focus of the suggested fuzzy-enhanced BWSO approach is on cluster head selection, which is essential for lowering energy consumption and enhancing network performance. The program uses fuzzy logic to assess a number of factors, including network density, node proximity, and energy …
Published in International Journal of Wireless Security and Networks · Vol. 2, Issue 2, 2024 · pp. 28–34 Read article
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Beyond Binary: A Holistic Exploration of Fuzzy Logic Systems in Control Theory-An Extensive Review and Future Directions
Abstract: Now a days non renewable energy or conventional energy sources are reduced due to the increased usage of energy for several purposes, for that renewable energy source are introduced for the same. This help islanded areas electrification, several methods are used for the storage and distribution of energy. one of the technique is fuzzy logic control, in this paper discuss about the usage of energy and fuzzy logic system usage …
Published in International Journal of Electrical Power and Machine Systems · Vol. 2, Issue 1, 2024 · pp. 8–13 Read article
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Deploying Fuzzy Logic for Self-Tuning Regulator Design for Motion Control in Modern Electrical Machines
Abstract: Modern electrical machines require sophisticated motion control systems capable of adapting to varying operating conditions, load disturbances, and parameter uncertainties. Traditional self-tuning regulators (STR) based on classical control theory often struggle with nonlinearities, time-varying dynamics, and complex operational environments characteristic of contemporary electric drives. This article presents a comprehensive framework for deploying fuzzy logic in self-tuning regulator design to address these challenges in motion control applications. Fuzzy logic controllers leverage …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 2, 2025 · pp. 11–21 Read article
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An Intelligent Fuzzy Based Framework for Prediction of Heart Diseases
Abstract: Coronary illness conclusion is a confusing procedure and requires an abnormal state of aptitude. In the space of medicinal analysis, there are various factors that influence the choice procedure along with these lines causing the distinctions in the assessments of the experts. There are numerous questionable hazard factors, so at times ailment conclusion is hard for specialists. Having huge numbers of components to dissect to analyze the infection of the …
Published in Journal of Advances in Shell Programming · Vol. 6, Issue 1, 2019 · pp. 1–7 Read article
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Mitigation of Harmonics in Industries using a Multilevel Shunt Active Power Filter
Abstract: The vast development in power electronic equipments causes higher harmonics in the distribution line in order to reduce the harmonics. This work proposes a design of Multi-Level Inverter (MLI) based Shunt Active Filter (SAF) intended to sort out the presence of harmonics in the distribution line. This proposed SAF utilizes three level diodes clamped MLI as VSI. d-q theory is employed for reference signal generation. In order to regulate the …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 8, Issue 3, 2021 · pp. 39–50 Read article
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Risk Analysis of Infrastructure Projects - Case of Mumbai Metroline 1
Abstract: The study attempts to identify key risk factors during the execution phase of the Elevated Mumbai Metro Project by administering a structured questionnaire to professionals with substantially long work experience on different projects and extensive review of academic and industry literature. The various risks identified are categorized as related to client, contractor, consultant, material, labour, equipment and external risks. They are further evaluated by applying Failure Mode and Effect Analysis …
Published in Journal of Construction Engineering, Technology & Management · Vol. 9, Issue 3, 2019 · pp. 16–29 Read article
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Performance Analysis of AODV Protocol in MANET Using Fuzzy Logic and QUALNET
Abstract: Mobile ad hoc network (MANET) is an infrastructure-less network in which nodes are connected without any fixed infrastructure. Routing protocols find route to forward data packets from the source node to the destination node. A routing protocol performs key role in finding the shortest route path. In this paper, an approach has been presented using fuzzy logic to evaluate and compare AODV routing protocol with QUALNET. In this paper, number …
Published in Journal of Operating Systems Development & Trends · Vol. 3, Issue 1, 2016 · pp. 7–13 Read article
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Color Image Segmentation Using Optimized FCM Based on Modified Xie-Beni’s Validity Index
Abstract: AbstractColor image segmentation is an important task for image processing. There are many techniques used for segmentation; among them clustering is the most popular technique. The main issue of clustering process is to determine the number of clusters present in the image, which often is decided by the user or by cluster validity index. It is illogical to have correct or exact knowledge about the data points present in the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 4, Issue 2, 2017 · pp. 4–12 Read article