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47 articles for “fuzzy measures”
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Software Testing and Assessment Measure for Fuzzy Logic
Abstract: Software testing is an important part of software development which is performed to support and enhance reliability and quality of software. It consists of estimating testing effort, selecting suitable test team, designing test cases, executing the software with those test cases and examining the results produced by these methods. This paper proposes fuzzy based approach for finding out the complexity weight based on requirement. Based on the weight, this paper …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 3, Issue 2, 2016 · pp. 7–14 Read article
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A Mathematical Approach to Represent Uncertain Data using Evidence and Possibility Theory
Abstract: The uncertainty involved in any problem solving situation is a result of some information deficiency. Information may be incomplete, in precise, not fully reliable, and contradictory. In general, the lack of information may result in different types of uncertainty. In this paper we discuss the statistical approach for representing uncertain data using evidence theory and possibility theory and applications to the evidence and possibility approximation problems are briefly presented.
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 1, Issue 1, 2014 · pp. 20–23 Read article
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Optimization of Surface Roughness and Material Removal Rate in Turning of Al-6061 Using Taguchi Methodology, Fuzzy Logic, and Measurement System Analysis
Abstract: The optimization of machining parameters please a crucial role in improving product quality and productivity in manufacturing processes. This study focuses on the turning of aluminium 6061 alloy, aiming to optimize two key performance measures: Surface Roughness and Material Removal Rate. An integrated approach combining to Taguchi methodology, fuzzy logic and measurement system analysis (MSA) is proposed to achieve this objective. Taguchi design of experiments using and L9 orthogonal array …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 4, Issue 1, 2026 · pp. 13–19 Read article
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Novel Distance Measure for Linear Diophantine Fuzzy Sets
Abstract: Unlike other fuzzy set theories, the theory of Linear Diophantine fuzzy set (LDFS) aims to overcome uncertainties via the reference parameters. The Parameters provide flexibility and efficiency to LDFS in handling the uncertain data. In this study, we introduce new distance measure for linear Diophantine fuzzy sets. Then, we studied the properties of proposed distance measure. Finally, we established a new similarity measure for LDFSs based on distance measure.
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 9, Issue 2, 2022 · pp. 38–45 Read article
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A Fuzzy Logic Approach to Measure the Complexity of Component-based Software
Abstract: Component-Based Software (CBS) Development is now a widely accepted software methodology to manage the increasing complexity and maximize the reuse of code. This paper presents a complexity metric combined with three submetrics for measuring the complexity of a CBS. This complexity metric incorporates three key aspects—coupling, cohesion and interface complexities. To automate the complexity measurement of a CBS, a tool has been developed using fuzzy logic. For this tool, a …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 1, Issue 2, 2014 · pp. 1–9 Read article
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A novel similarity measure for interval value picture fuzzy Environment and extended TOPSIS
Abstract: Correct decision-making is the most arduous task in our daily life. The decisions are hard to make in the multi-criteria decision-making (MCDM) problems due to ambiguous and unexpected information. In order to cope with such uncertainties in the data, a new decision-making approach has been developed using a newly defined similarity measure under the framework of interval-valued picture fuzzy set (IVPFS), as an extension of picture fuzzy sets (PFS). In …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 11, Issue 1, 2024 · pp. 1–10 Read article
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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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Fuzzy Logic in Image Processing: Definition and Scheme
Abstract: Digital image processing is a evergreen developing and energetic location with petition bust out into habitual existence likewise medicinal drug, area evaluation, inspection, support, automatic enterprise inspection and plenty extra zone. The advanced gadget especially makes a specialty of a fuzzy logic structures in an image processing. The most important subject of device is about to illustrate the application of Fuzzy common sense in photograph transforming with a short measure …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 3, 2021 · pp. 29–33 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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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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Study and Prediction of Radiation Effects in Solar Power Plants using Neuro Fuzzy and Neural Network
Abstract: Neural and neuro-fuzzy frameworks are utilized, to figure temperature and sun powered radiation. The principle benefit of these frameworks is that they don't need any earlier information on the qualities of the information time-series to foresee their future qualities. These frameworks with various models have been prepared utilizing as information estimations of the above meteorological boundaries acquired from the National Observatory of Athens. In the wake of having reproduced a …
Published in Trends in Electrical Engineering · Vol. 12, Issue 1, 2022 · pp. 8–19 Read article
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Quantum-Fuzzy Tensor Operators and Uncertainty-Band Bifurcation for Symmetry-Preserving State Discrimination
Abstract: A tensor-operator framework is developed for fuzzy conjunction, fuzzy disjunction, and symmetry-preserving state discrimination in multi-qubit quantum systems. In this formulation, fuzzy membership and non-membership degrees are represented through expectations of effect operators acting on density matrices, providing a natural bridge between fuzzy logic and quantum measurement theory. Conjunction and disjunction operations are extended to the quantum domain via tensorised channels, constructed using projective measurements and unitary transformations, enabling logical …
Published in Emerging Trends in Symmetry · Vol. 2, Issue 1, 2026 · pp. 08–15 Read article
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Multicriteria Decision Making using SR-Fuzzy Sets
Abstract: In this study, we introduce and explore square-root fuzzy sets (SR-Fuzzy sets), a novel extension within the realm of fuzzy set theory. We begin by establishing a comparative analysis between SR-Fuzzy sets and two well-known fuzzy set models: Intuitionistic Fuzzy Sets (IFS) and Pythagorean Fuzzy Sets (PFS). This comparison highlights the unique characteristics and mathematical structure of SR-Fuzzy sets. A particular focus is placed on the complement operator, which plays …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 12–20 Read article
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Information Classification Using Fuzzy Technique
Abstract: Abstract: In this paper, we propose a new method for fuzzy information classification. This method introduces the measurement of similarity between the information and the point in the n-dimensional space which is to be classified. The methodology for the development facility section routine for their placement in an open field is discussed.Keywords: Euclidean, fuzzy decision, information matching, n-dimensional space, pattern similarityCite this Article: Sarat K. Parhi, G. Das. Information Classification …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 6, Issue 3, 2019 · pp. 28–29 Read article
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AN INTELLIGENT OPTIMUM RELATION BASED MPPT CONTROLLER FOR A WIND GENERATOR SYSTEM
Abstract: Abstract:Permanent magnet synchronous generators in wind generation systems are equipped with two sets of converters connected back to back. For maximum power transfer under variable wind speed conditions, the generator side as well as grid side converter reference settings have to be optimized. In this article, the generator side converter speed settings are determined through an adaptive neuro-fuzzy algorithm for extracting maximum power from wind. The algorithm contains two series …
Published in Journal of Control & Instrumentation · Vol. 10, Issue 3, 2019 · pp. 34–50 Read article
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Evaluating Low Carbon Supply Chain Practices in India using Fuzzy Tool based Importance and Performance Analysis
Abstract: Abstract The aim of present study is to introduce new logical method to select critical low carbon supply chain practices (LCSCP) having integrated and performance analysis under different environments. The manufacturing companies in India are having lots of loads to reduce environmental pollution. Suitable application of LCSCP ensures proper utilization and also motivates companies to take global pollution-based problems. Therefore, there are few techniques available for the analysis of LCSCP …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 9, Issue 1, 2019 · pp. 29–39 Read article
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Multisensor Data Fusion based Intelligent Temperature Measurement Technique
Abstract: Design and validation of a temperature measurement technique using fusion of temperature sensor like resistance temperature detector (RTD), and thermistor is proposed in this work. The objective of proposed work is to design a technique using fuzzy logic algorithms to fuse two different sensors having dissimilar characteristics. A fuzzy logic system is trained to produce an output for a temperature measurement system which is (a) more linear input-output characteristics as …
Published in Journal of Control & Instrumentation · Vol. 5, Issue 2, 2014 · pp. 1–13 Read article
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Fuzzy Inference System for Performance Analysis of Aspiring Research Students
Abstract: AbstractResearch play a very important role in the growth of any university. Number of research performs in an institute affects the rating of an institute. In this paper, we have discussed a new evaluation method is described to measures the performance of analysis of aspiring research students based on Fuzzy Inference systems and results are compared with the classical method. Through using Fuzzy logic approaches, we evaluate the research students’ …
Published in Journal of Electronic Design Technology · Vol. 8, Issue 3, 2017 · pp. 12–16 Read article
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Real-time Water Quality Analysis Using Fuzzy Logic
Abstract: Nowadays the availability of safe drinking water is very difficult. In our project we are analysing water quality using different parameters like pH, turbidity, temperature and TDS for determining its safety level by monitoring the data from the readings. Moreover, we have a monitoring system for the data and also a webpage where all the data from these system is displayed. The sensors are connected to an Arduino Nano microcontroller …
Published in Journal of Water Pollution & Purification Research · Vol. 13, Issue 2, 2026 · pp. 01–11 Read article