Preference programming approach for solving intuitionistic fuzzy AHP
- DOI
- 10.1080/18756891.2015.1099904How to use a DOI?
- Keywords
- AHP, Intuitionistic fuzzy numbers, Decision making
- Abstract
The aim of this paper is to present a novel approach for deriving weights of the decision criteria or alternatives in multi-attribute decision making (MADM) under intuitionistic fuzzy (IF) environment. In order to tackle the uncertainty and imprecision of the practical situations, decision makers’ pair-wise comparison judgments are represented by intuitionistic fuzzy numbers (IFNs). The assessment of the priorities from these IF pair-wise comparison judgments is formulated as an IF decision making problem where goals are described in intuitionistic fuzzy sense. Then by resolving hesitancy via a parameter, IF goals are transformed into fuzzy goals. Finally, aggregation of fuzzy goals and application of the max - min principle lead us to a nonlinear optimization problem whose solution gives the desired crisp priorities. Unlike the other prioritization methods, the proposed approach generates crisp priorities from IF pair-wise comparison matrix. Thus, the proposed approach eliminates the additional requirement of arithmetic operations of IFNs for aggregation and also avoids the ranking process of IFNs to compare the ï¬nal IF priorities, which may produce ambiguous results. Finally, examples are given to illustrate the proposed process with an application to MADM problem.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - Bapi Dutta AU - Debashree Guha PY - 2015 DA - 2015/09/01 TI - Preference programming approach for solving intuitionistic fuzzy AHP JO - International Journal of Computational Intelligence Systems SP - 977 EP - 991 VL - 8 IS - 5 SN - 1875-6883 UR - https://doi.org/10.1080/18756891.2015.1099904 DO - 10.1080/18756891.2015.1099904 ID - Dutta2015 ER -