Results 51 to 60 of about 1,086 (198)
Covering-Based Rough Single Valued Neutrosophic Sets
Neutrosophic Sets and Systems, 2017 Rough sets theory is a powerful tool to deal with uncertainty and incompleteness of knowledge in information systems. Wang et al. proposed single valued neutrosophic sets as an extension of intuitionistic fuzzy sets to deal with real-world problems. In this paper, we propose the covering-based rough single valued neutrosophic sets by combining covering-
Yingcang Ma, Wanying Zhou, Qing Wan
openaire +2 more sources
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
Songklanakarin Journal of Science and Technology (SJST), 2022 Songklanakarin Journal of Science an Technology (SJST), 44, 4, 1018 ...
openaire +2 more sources
Single-Valued Neutro Hyper BCK-Subalgebras
Journal of Mathematics, 2021 The purpose of this paper is to introduce the notation of single-valued neutrosophic hyper BCK-subalgebras and a novel concept of neutro hyper BCK-algebras as a generalization and alternative of hyper BCK-algebras, that have a larger applicable field. In
M. Hamidi, F. Smarandache
doaj +1 more source
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
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
openaire +1 more source
Single Valued Neutrosophic Hesitant Fuzzy Rough Set and Its Application
, 2019 In this paper, we proposed the notion of single valued neutrosophic hesitant fuzzy rough set, by combining single valued neutrosophic hesitant fuzzy set and rough set.
N. O. Alshehri, K. M. Alsager
core +1 more source
Information, 2018 Single-valued neutrosophic hesitant fuzzy set (SVNHFS) is a combination of single-valued neutrosophic set and hesitant fuzzy set, and its aggregation tools play an important role in the multiple criteria decision-making (MCDM) process.
Rui Wang, Yanlai Li
doaj +1 more source
A spectral analysis extension to DEMATEL for strategic leverage points identification
International Transactions in Operational Research, EarlyView.Abstract Efforts to intervene in complex systems often emphasize influential factors, yet system behavior is equally shaped by the relationships among them. Methods such as Decision‐Making Trial and Evaluation Laboratory (DEMATEL) map causal structures but remain descriptive and do not identify which relationships provide the greatest leverage for ...
Pavlos Delias, Kerasia Kalkitsa
wiley +1 more source
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
openaire +3 more sources