Generalized Neutrosophic Soft Expert Set for Multiple-Criteria 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 Generalized Neutrosophic Soft Expert Set for Multiple-Criteria Decision-Making write by Vakkas Uluçay . This book was released on . Generalized Neutrosophic Soft Expert Set for Multiple-Criteria Decision-Making available in PDF, EPUB and Kindle. Smarandache defined a neutrosophic set to handle problems involving incompleteness, indeterminacy, and awareness of inconsistency knowledge, and have further developed it neutrosophic soft expert sets. In this paper, this concept is further expanded to generalized neutrosophic soft expert set (GNSES). We then define its basic operations of complement, union, intersection, AND, OR, and study some related properties, with supporting proofs. Subsequently, we define a GNSES-aggregation operator to construct an algorithm for a GNSES decision-making method, which allows for a more efficient decision process. Finally, we apply the algorithm to a decision-making problem, to illustrate the effectiveness and practicality of the proposed concept. A comparative analysis with existing methods is done and the result affirms the flexibility and precision of our proposed method.
Generalized Neutrosophic Soft Expert Set for Multiple-Criteria Decision-Making
Generalized Neutrosophic Soft Expert Set for Multiple-Criteria 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 Generalized Neutrosophic Soft Expert Set for Multiple-Criteria Decision-Making write by Vakkas Uluçay. This book was released on . Generalized Neutrosophic Soft Expert Set for Multiple-Criteria Decision-Making available in PDF, EPUB and Kindle. In this paper, this concept is further expanded to generalized neutrosophic soft expert set (GNSES). We then define its basic operations of complement, union, intersection, AND, OR, and study some related properties, with supporting proofs. Subsequently, we define a GNSES-aggregation operator to construct an algorithm for a GNSES decision-making method, which allows for a more efficient decision process.
Neutrosophic Soft Expert Multiset and Their Application to Multiple Criteria Decision Making
Neutrosophic Soft Expert Multiset and Their Application to Multiple Criteria 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 Neutrosophic Soft Expert Multiset and Their Application to Multiple Criteria Decision Making write by Derya Bakbak. This book was released on . Neutrosophic Soft Expert Multiset and Their Application to Multiple Criteria Decision Making available in PDF, EPUB and Kindle. In this paper, we have investigated neutrosophic soft expert multisets (NSEMs) in detail. The concept of NSEMs is introduced. Several operations have been defined for them and their important algebraic properties are studied. Finally, we define a NSEMs aggregation operator to construct an algorithm for a NSEM decision-making method that allows for a more efficient decision-making process.
Generalized Neutrosophic TOPSIS to Solve Multi-Criteria Decision-Making Problems
Generalized Neutrosophic TOPSIS to Solve Multi-Criteria Decision-Making Problems - 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 Generalized Neutrosophic TOPSIS to Solve Multi-Criteria Decision-Making Problems write by Rana Muhammad Zulqarnain. This book was released on 2020-12-01. Generalized Neutrosophic TOPSIS to Solve Multi-Criteria Decision-Making Problems available in PDF, EPUB and Kindle. Multi-criteria decision making (MCDM) is the technique of selecting the best alternative from multiple alternatives and multiple conditions. The technique for order preference by similarity to an ideal solution (TOPSIS) is a crucial practical technique for ranking and selecting different options by using a distance measure. In this article, we protract the fuzzy TOPSIS technique to neutrosophic fuzzy TOPSIS, and prove the accuracy of the method by explaining the MCDM problem with single-value neutrosophic information, and use the method for supplier selection in the production industry. We hope that this article will promote future scientific research on numerous existence issues based on multi-criteria decision making.
Generalized Q-Neutrosophic Soft Expert Set for Decision under Uncertainty
Generalized Q-Neutrosophic Soft Expert Set for Decision under Uncertainty - 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 Generalized Q-Neutrosophic Soft Expert Set for Decision under Uncertainty write by Majdoleen Abu Qamar . This book was released on . Generalized Q-Neutrosophic Soft Expert Set for Decision under Uncertainty available in PDF, EPUB and Kindle. Neutrosophic triplet structure yields a symmetric property of truth membership on the left, indeterminacy membership in the centre and false membership on the right, as do points of object, centre and image of reflection. As an extension of a neutrosophic set, the Q-neutrosophic set was introduced to handle two-dimensional uncertain and inconsistent situations. We extend the soft expert set to generalized Q-neutrosophic soft expert set by incorporating the idea of soft expert set to the concept of Q-neutrosophic set and attaching the parameter of fuzzy set while defining a Q-neutrosophic soft expert set. This pattern carries the benefits of Q-neutrosophic sets and soft sets, enabling decision makers to recognize the views of specialists with no requirement for extra lumbering tasks, thus making it exceedingly reasonable for use in decision-making issues that include imprecise, indeterminate and inconsistent two-dimensional data. Some essential operations namely subset, equal, complement, union, intersection, AND and OR operations and additionally several properties relating to the notion of generalized Q-neutrosophic soft expert set are characterized. Finally, an algorithm on generalized Q-neutrosophic soft expert set is proposed and applied to a real-life example to show the efficiency of this notion in handling such problems.
