Search

Your search keyword '"Tripathy B"' showing total 11 results
Start Over Author "Tripathy B" Topic decision making
11 results on '"Tripathy B"'

3. Improved Decision Making Through IFSS

Author

Sooraj, T. R., Mohanty, R. K., Tripathy, B. K., Howlett, Robert James, Series Editor, Jain, Lakhmi C., Series Editor, Satapathy, Suresh Chandra, editor, Bhateja, Vikrant, editor, and Das, Swagatam, editor

Published
2018
Full Text
View/download PDF

4. Interval Valued Hesitant Fuzzy Soft Sets and Its Application in Stock Market Analysis

Author

Sooraj, T. R., Tripathy, B. K., Kacprzyk, Janusz, Series editor, Pal, Nikhil R., Advisory editor, Bello Perez, Rafael, Advisory editor, Corchado, Emilio S., Advisory editor, Hagras, Hani, Advisory editor, Kóczy, László T., Series editor, Kreinovich, Vladik, Advisory editor, Lin, Chin-Teng, Advisory editor, Lu, Jie, Advisory editor, Melin, Patricia, Advisory editor, Nedjah, Nadia, Advisory editor, Nguyen, Ngoc Thanh, Advisory editor, Wang, Jun, Advisory editor, Dash, Subhransu Sekhar, editor, Vijayakumar, K., editor, Panigrahi, Bijaya Ketan, editor, and Das, Swagatam, editor

Published
2017
Full Text
View/download PDF

5. Hesitant Fuzzy Soft Set Theory and Its Application in Decision Making

Author

Sooraj, T. R., Mohanty, R. K., Tripathy, B. K., Kacprzyk, Janusz, Series editor, Pal, Nikhil R., Advisory editor, Bello Perez, Rafael, Advisory editor, Corchado, Emilio S., Advisory editor, Hagras, Hani, Advisory editor, Kóczy, László T., Series editor, Kreinovich, Vladik, Advisory editor, Lin, Chin-Teng, Advisory editor, Lu, Jie, Advisory editor, Melin, Patricia, Advisory editor, Nedjah, Nadia, Advisory editor, Nguyen, Ngoc Thanh, Advisory editor, Wang, Jun, Advisory editor, Dash, Subhransu Sekhar, editor, Vijayakumar, K., editor, Panigrahi, Bijaya Ketan, editor, and Das, Swagatam, editor

Published
2017
Full Text
View/download PDF

6. Intuitionistic Hesitant Fuzzy Soft Set and Its Application in Decision Making

Author

Mohanty, R. K., Tripathy, B. K., Kacprzyk, Janusz, Series editor, Pal, Nikhil R., Advisory editor, Bello Perez, Rafael, Advisory editor, Corchado, Emilio S., Advisory editor, Hagras, Hani, Advisory editor, Kóczy, László T., Series editor, Kreinovich, Vladik, Advisory editor, Lin, Chin-Teng, Advisory editor, Lu, Jie, Advisory editor, Melin, Patricia, Advisory editor, Nedjah, Nadia, Advisory editor, Nguyen, Ngoc Thanh, Advisory editor, Wang, Jun, Advisory editor, Dash, Subhransu Sekhar, editor, Vijayakumar, K., editor, Panigrahi, Bijaya Ketan, editor, and Das, Swagatam, editor

Published
2017
Full Text
View/download PDF

8. A New Approach to Fuzzy Soft Set Theory and Its Application in Decision Making

Author

Tripathy, B. K., Sooraj, T. R., Mohanty, R. K., Kacprzyk, Janusz, Series editor, Pal, Nikhil R., Advisory editor, Bello Perez, Rafael, Advisory editor, Corchado, Emilio S., Advisory editor, Hagras, Hani, Advisory editor, Kóczy, László T., Advisory editor, Kreinovich, Vladik, Advisory editor, Lin, Chin-Teng, Advisory editor, Lu, Jie, Advisory editor, Melin, Patricia, Advisory editor, Nedjah, Nadia, Advisory editor, Nguyen, Ngoc Thanh, Advisory editor, Wang, Jun, Advisory editor, Behera, Himansu Sekhar, editor, and Mohapatra, Durga Prasad, editor

Published
2016
Full Text
View/download PDF

9. A New Approach to Neutrosophic Soft Sets and their Application in Decision Making.

Author

Mohanty, R. K. and Tripathy, B. K.

Subjects
*SOFT sets, *FUZZY sets, *DECISION making, *TEACHER selection, *MULTIPLE criteria decision making, *PROBLEM solving
Abstract

In literature, several models which can handle uncertainty in datasets have been introduced. Fuzzy set introduced by Zadeh in 1965, is one of the earliest such models and Atanassov generalised it by introducing the notion of Intuitionistic fuzzy sets(IFS) in 1986. However, these models are handicaped due to their inadequacy as parameterization tools. The notion of Soft sets (SS) was introduced by Molodtsov in 1999 to solve this problem. Almost at the same time, Neutrosophic set (NS) model was introduced by Smarandache, which is a huge generalisation of IFS. As has been the practice, the hybrid model of SS and NS was proposed to frame the notion of Neutrosophic Soft Set (NSS) by Ali and Smaranche in 2015 and studied their properties. Since its inception, one of the major areas of application of Soft Sets has been that of Multi-criterian Decision Making (MCDM). Many problems in MCDM were solved by using hybrid models of SS. Following this trend, in this paper, we develop an algorithm basing upon NSS to handle the problem of MCDM in the selection of faculty through an interview prcess. For this, we had to introduce an improved score function which is used to rank the candidates basing upon several of their characteristics including interview perfromances. This application is better handled by the NSS model as is evident from the results. We illustrated the superiority of our proposed algorithm by providing a comparative analysis with many exieting algorithms in the literature. [ABSTRACT FROM AUTHOR]

Published
2023

10. Optimization of seed selection for higher product using interval valued fuzzy soft sets.

Author

T. R., Sooraj and Tripathy, B. K.

Subjects
*SELECTION (Plant breeding), *FUZZY sets, *DECISION making, *COMPUTER algorithms, *MATHEMATICAL models
Abstract

Nowadays, seed selection is one of the main problems faced by farmers and research into agriculture because of the uncertainties in various factors, such as environmental conditions, quality of seeds etc. Soft set theory introduced by Molodtsov is an efficient modeling technique to handle uncertainty. Hybrid models have been found to be more useful than those relying on one technique. Tripathy et al. introduced very recently the concept of interval valued fuzzy soft sets through the membership function approach. Among the hybrid soft set models, we use the concept of interval valued fuzzy soft sets to select the optimal seeds. In order to illustrate the application of IVFSSs, a decision making algorithm using this notion is proposed and illustrated through an example. This algorithm was applied to a large rice seed data set and the results are encouraging. [ABSTRACT FROM AUTHOR]

Published
2018

Catalog

Books, media, physical & digital resources
See catalog results