Algorithms For Single Valued Neutrosophic Decision Making Based On Topsis And Clustering Methods With New Distance Measure
Download and Read Algorithms For Single Valued Neutrosophic Decision Making Based On Topsis And Clustering Methods With New Distance Measure full books in PDF, ePUB, and Kindle. Read online free Algorithms For Single Valued Neutrosophic Decision Making Based On Topsis And Clustering Methods With New Distance Measure ebook anywhere anytime directly on your device. We cannot guarantee that every ebooks is available!
Algorithms for single-valued neutrosophic decision making based on TOPSIS and clustering methods with new distance measure
Author | : Harish Garg |
Publisher | : Infinite Study |
Total Pages | : 23 |
Release | : |
Genre | : Mathematics |
ISBN | : |
Download Algorithms for single-valued neutrosophic decision making based on TOPSIS and clustering methods with new distance measure Book in PDF, Epub and Kindle
Single-valued neutrosophic set (SVNS) is an important contrivance for directing the decision-making queries with unknown and indeterminant data by employing a degree of “acceptance”, “indeterminacy”, and “non-acceptance” in quantitative terms. Under this set, the objective of this paper is to propose some new distance measures to find discrimination between the SVNSs. The basic axioms of the measures have been highlighted and examined their properties. Furthermore, to examine the relevance of proposed measures, an extended TOPSIS (“technique for order preference by similarity to ideal solution”) method is introduced to solve the group decision-making problems. Additionally, a new clustering technique is proposed based on the stated measures to classify the objects. The advantages, comparative analysis as well as superiority analysis is given to shows its influence over existing approaches.
Algorithms for single-valued neutrosophic decision making based on TOPSIS and clustering methods with new distance measure Related Books
Pages: 23
Pages: 14
Pages: 970
Pages: 652
Pages: 15