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9 articles for “vague sets”
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A Survey on Multiobjective Decision Making on Vague Sets
Abstract: This paper provides report of a survey on the vague sets and also multiobjective decision making. As a further fuzzy set theory generalization, the vague set theory can overcome the fuzzy set shortcomings through defining the membership from two different sides of both FALSE and TRUE, rather than only through a value of a single membership. MCDM approach has evolved to accommodate numerous application types. Methods dozens have been developed, …
Published in Journal of Advanced Database Management & Systems · Vol. 3, Issue 1, 2016 · pp. 1–8 Read article
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Use of Vague Set Theory for Multiple Objectives Decision Making
Abstract: AbstractIn this paper, we goal to prolong the inspiration of classical soft expert sets to possibility vague soft expert sets through applying the theory of soft expert sets to the probability vague soft sets. The complement, union, intersection, AND/OR operations as well as some related ideas referring to this inspiration are defined. Since vague sets (VSs) can give more data than fuzzy sets, it is prevalent in mathematical analysis of …
Published in Journal of Advanced Database Management & Systems · Vol. 4, Issue 1, 2017 · pp. 1–6 Read article
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A New Framework for Optimal Hesitation Pattern Mining
Abstract: AbstractIn mathematical optimization, the firefly algorithm is a metaheuristic approach. It has been proposed by Xin-She Yang and inspired by the flashing behavior of fireflies. Proposed research used Firefly Algorithm for discovering the best Association rules. In this species, it is always the female who glows, and only the male has wings. In other species, Luciola lusitanica, both male and female firefly may emit light and both have wings. If …
Published in Journal of Communication Engineering & Systems · Vol. 7, Issue 2, 2017 · pp. 34–41 Read article
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Implementation of Maintenance Quality Function Deployment in Kulfi Ice Cream Making Industry
Abstract: Quality Function Deployment (QFD) is a technique in Total Quality Management (TQM) that is used to effectively convert vague customer voices into technical language. It is used to set effective targets for enhancing the products and services provided by an organization. Total Productive Maintenance (TPM) is a reliable method for achieving high quality in maintenance engineering. TPM does not include a technique to incorporate Voice of Customers (VOC) in its …
Published in Journal of Production Research & Management · Vol. 14, Issue 3, 2024 Read article
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Stock Price Analysis and Forecasting Using Linear Regression and SVM Classifiers
Abstract: In this study, we attempt to implement a Machine Learning approach to predict stock market prices. Linear Regression is very effectively implemented in forecasting stock prices, returns, and stock modelling. This project is for common users as the prediction is done on all of the companies. We outline the design of the Linear Regression model with its salient features and customizable parameters. We select a certain group of parameters with …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 3, 2023 · pp. 62–66 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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Grey relational fractional programming and cross-evaluating method for multi-attribute decision making problem in spherical fuzzy setting
Abstract: To apply the spherical fuzzy sets(SFSs) for multiple attribute decision making (MCDM) problems have the more realistic significance, because of the assessment data specified by experts are mostly fuzzy and uncertain, the uncertainty and vagueness, ambiguity and subjectivity of the information in an intricate decision making environment, In this paper, a method to acquire attribute weights of interval number form by using the maximization method of the grey relational relative …
Published in Research & Reviews : Journal of Statistics · Vol. 12, Issue 3, 2023 · pp. 40–52 Read article
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Fuzzy Logic and Its Application
Abstract: Fuzzy Logic has an extremely vital role in the arena of computer science and engineering, Artificial Intelligence, control theory and mathematics etc. Fuzzy logic is the way of organizing belief or idea that cannot be defined precisely but which depends upon their contexts i.e. the human way of logic thinking, reasoning, and perception. Fuzzy Logic finds widespread use the businesses, medicinal sciences, engineering, behavioral sciences, etc. due to perpetually growing …
Published in Journal of Microcontroller Engineering and Applications · Vol. 8, Issue 1, 2021 · pp. 31–38 Read article
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Two Phase Retrial Queue Evaluation Using DEMATEL (Decision Making Trial and Evaluation Laboratory)
Abstract: In this study, retrial queues are characterized by calls that detect that all servers are busy joining the review team, and retrying their demands in random order and at random intervals. If the server is found to be busy, customers can join the review team at a random time. But they keep making the same demands, at random or at set intervals. Recurring queues are widely used to model many …
Published in Journal of Communication Engineering & Systems · Vol. 12, Issue 3, 2022 · pp. 6–19 Read article