Abstract
Analytic network Process (ANP) can model the inner and outer dependencies and feedbacks between the decision-making elements in a network. It calculates the correct weights of criteria, and local and global priorities of alternatives in the presence of dependencies and feedbacks. Classical ANP is a multicriteria decision making method under certainty. However, it can be used under neutrosophic uncertainty. This chapter develops a neutrosophic fuzzy ANP method and illustrates its usage and validity through the solution of a supplier selection problem in a firm manufacturing automobile spare parts.
| Original language | English |
|---|---|
| Title of host publication | Studies in Fuzziness and Soft Computing |
| Publisher | Springer Verlag |
| Pages | 525-542 |
| Number of pages | 18 |
| DOIs | |
| Publication status | Published - 2019 |
Publication series
| Name | Studies in Fuzziness and Soft Computing |
|---|---|
| Volume | 369 |
| ISSN (Print) | 1434-9922 |
Bibliographical note
Publisher Copyright:© Springer Nature Switzerland AG 2019.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 9 Industry, Innovation, and Infrastructure
Keywords
- AHP
- ANP
- Decision making
- Feedback
- Inner dependency
- Multiple criteria
- Neutrosophic sets
- Outer dependency
Fingerprint
Dive into the research topics of 'Analytic network process with neutrosophic sets'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver