Results 41 to 50 of about 694 (172)
Neutrosophic Tangent Similarity Measure and Its Application to Multiple Attribute Decision Making [PDF]
Neutrosophic Sets and Systems, 2015 In this paper, the tangent similarity measure of neutrosophic sets is proposed and its properties are studied. The concept of this tangent similarity measure of single valued neutrosophic sets is a parallel tool of improved cosine similarity measure of ...
Kalyan Mondal, Surapati Pramanik
doaj
Single - valued neutrosophic Yager power aggregation operators and its application to MCDM [PDF]
Yugoslav Journal of Operations ResearchThe notion of Single-valued neutrosophic sets (SVNSs) being a generalization of fuzzy sets, intuitionistic fuzzy sets and picture fuzzy sets enhances implications of these methods in various interdisciplinary problems. Aggregation operator is a prevalent
Sharma Sonam, Singh Surender
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Single Valued Neutrosophic Hyperbolic Sine Similarity Measure Based MADM Strategy [PDF]
Neutrosophic Sets and Systems, 2018 In this paper, we introduce new type of similarity measures for single valued neutrosophic sets based on hyperbolic sine function. The new similarity measures are namely, single valued neutrosophic hyperbolic sine similarity measure and weighted single ...
Kalyan Mondal +2 more
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Songklanakarin Journal of Science and Technology (SJST), 2022 Songklanakarin Journal of Science an Technology (SJST), 44, 4, 1018 ...
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Barriers to the Adoption of Circular Economy Business Models in the Indian Textile Industry
Business Strategy and the Environment, EarlyView.ABSTRACT The Indian textile industry has significant negative impacts on the environment. This industry needs to adopt a circular economy approach to become more sustainable; however, progress on this has been limited. In this study, we report on the barriers to adoption of Circular Economy Business Models (CEBMs) in the Indian textile industry.
Himanshu Chandra +2 more
wiley +1 more source
A New Type of Single Valued Neutrosophic Covering Rough Set Model [PDF]
Symmetry, 2019 Recently, various types of single valued neutrosophic (SVN) rough set models were presented based on the same inclusion relation. However, there is another SVN inclusion relation in SVN sets. In this paper, we propose a new type of SVN covering rough set model based on the new inclusion relation. Furthermore, the graph and matrix representations of the
Jingqian Wang 0001, Xiaohong Zhang 0001
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Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT Growing concerns about the environmental and social consequences of plastics around the world, manufacturing industries are associated with business are focusing on sustainable end‐of‐life options‐based solutions which aim at increasing the product life cycle.
Sivakumar Kirupanandan +3 more
wiley +1 more source
Axiomatic Characterizations of Quadripartitioned Single Valued Neutrosophic Rough Sets
Journal of New Theory, 2020 In this paper, axiomatic characterizations of quadripartitioned single-valued neutrosophic rough sets have been studied and also studied some properties of quadripartitioned single-valued neutrosophic rough sets.
Mohanasundari Mohan, Mohana Krishnaswamy
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Integrated decision-making framework for hospital development: A single-valued neutrosophic probabilistic hesitant fuzzy approach with innovative aggregation operators [PDF]
Yugoslav Journal of Operations ResearchThis research article proposes an innovative algorithm for analyzing parallelism in the evolution of hospital building features, with the goal of advancing decisionmaking processes in both urban and rural hospitals. As an additional generalization of the
Kamran Muhammad +5 more
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Selection of Alternative under t he Framework of Single-Valued Neutrosophic Sets
Neutrosophic Sets and Systems, 2020 The multiple criteria decision making (MCDM) problems indicate the alternatives which have more or less resemblance to each other. An important mathematical tool used by decision-makers (DMs) to quantify these resemblances is the similarity measure (SM). SM is a powerful tool that measures the resemblance more accurately.
M. Sarwar Sindhu +2 more
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