Multiple Attribute Decision-Making Method Using Similarity Measures of Neutrosophic Cubic Sets - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Multiple Attribute Decision-Making Method Using Similarity Measures of Neutrosophic Cubic Sets write by Angyan Tu. This book was released on . Multiple Attribute Decision-Making Method Using Similarity Measures of Neutrosophic Cubic Sets available in PDF, EPUB and Kindle. In inconsistent and indeterminate settings, as a usual tool, the neutrosophic cubic set (NCS) containing single-valued neutrosophic numbers and interval neutrosophic numbers can be applied in decision-making to present its partial indeterminate and partial determinate information.
Possibility Neutrosophic Cubic Sets and Their Application to Multiple Attribute Decision Making
Possibility Neutrosophic Cubic Sets and Their Application to Multiple Attribute Decision Making - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Possibility Neutrosophic Cubic Sets and Their Application to Multiple Attribute Decision Making write by Huiling Xue. This book was released on . Possibility Neutrosophic Cubic Sets and Their Application to Multiple Attribute Decision Making available in PDF, EPUB and Kindle. The neutrosophic cubic sets are an extension of the neutrosophic sets on the cubic sets. It contains three variables, which respectively represent the membership degree, non-membership degree and uncertainty of the element to the set. The score function is an important indicator in the multi-attribute decision-making problem. In this paper, we consider the possibility that an element belongs to a set and put forward the definition of possibility neutrosophic cubic sets. On this basis, we introduce some related concepts and give the binary operation of possibility neutrosophic cubic sets and use specific examples to supplement the corresponding definition. Meanwhile, a decision-making method based on the score function of possibility neutrosophic cubic sets is proposed and a numerical example is given to illustrate the effectiveness of the proposed method.
Cosine Measures of Neutrosophic Cubic Sets for Multiple Attribute Decision-Making
Cosine Measures of Neutrosophic Cubic Sets for Multiple Attribute Decision-Making - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Cosine Measures of Neutrosophic Cubic Sets for Multiple Attribute Decision-Making write by Zhikang Lu . This book was released on . Cosine Measures of Neutrosophic Cubic Sets for Multiple Attribute Decision-Making available in PDF, EPUB and Kindle. The neutrosophic cubic set can contain much more information to express its interval neutrosophic numbers and single-valued neutrosophic numbers simultaneously in indeterminate environments. Hence, it is a usual tool for expressing much more information in complex decision-making problems.
Multiple-Attribute Decision-Making Method Using Similarity Measures of Hesitant Linguistic Neutrosophic Numbers Regarding Least Common Multiple Cardinality
Multiple-Attribute Decision-Making Method Using Similarity Measures of Hesitant Linguistic Neutrosophic Numbers Regarding Least Common Multiple Cardinality - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Multiple-Attribute Decision-Making Method Using Similarity Measures of Hesitant Linguistic Neutrosophic Numbers Regarding Least Common Multiple Cardinality write by Wenhua Cui . This book was released on . Multiple-Attribute Decision-Making Method Using Similarity Measures of Hesitant Linguistic Neutrosophic Numbers Regarding Least Common Multiple Cardinality available in PDF, EPUB and Kindle. Linguistic neutrosophic numbers (LNNs) are a powerful tool for describing fuzzy information with three independent linguistic variables (LVs), which express the degrees of truth, uncertainty, and falsity, respectively. However, existing LNNs cannot depict the hesitancy of the decision-maker (DM). To solve this issue, this paper first defines a hesitant linguistic neutrosophic number (HLNN), which consists of a few LNNs regarding an evaluated object due to DMs’ hesitancy to represent their hesitant and uncertain information in the decision-making process.
Neutrosophic cubic Heronian mean operators with applications in multiple attribute group decision-making using cosine similarity functions
Neutrosophic cubic Heronian mean operators with applications in multiple attribute group decision-making using cosine similarity functions - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Neutrosophic cubic Heronian mean operators with applications in multiple attribute group decision-making using cosine similarity functions write by Muhammad Gulistan. This book was released on . Neutrosophic cubic Heronian mean operators with applications in multiple attribute group decision-making using cosine similarity functions available in PDF, EPUB and Kindle. This article introduces the concept of Heronian mean operators, geometric Heronian mean operators, neutrosophic cubic number–improved generalized weighted Heronian mean operators, neutrosophic cubic number–improved generalized weighted geometric Heronian mean operators. These operators actually generalize the operators of fuzzy sets, cubic sets, and neutrosophic sets. We investigate the average weighted operator on neutrosophic cubic sets and weighted geometric operator on neutrosophic cubic sets to aggregate the neutrosophic cubic information. After this, based on average weighted and geometric weighted and cosine similarity function in neutrosophic cubic sets, we developed a multiple attribute group decision-making method. Finally, we give a mathematical example to illustrate the usefulness and application of the proposed method.
