Study and applications of fuzzy and intuitionistic fuzzy methods for multicriteria decision making problems
| dc.contributor.advisor | Sanjay Kumar | |
| dc.contributor.author | Joshi, Deepa | |
| dc.date.accessioned | 2016-10-17T11:21:40Z | |
| dc.date.available | 2016-10-17T11:21:40Z | |
| dc.date.issued | 2014-08 | |
| dc.description | Thesis-PhD | en_US |
| dc.description.abstract | Multi-criteria decision making (MCDM) has various applications in many real life problems of banking, data mining, human resource development, resource allocation and portfolio selection. The present research work mainly focus on development and implementation of MCDM models in the environment of uncertainty and hesitation. In this study, 5 different models of MCDM/MCGDM in fuzzy, intuitionistic fuzzy, interval-valued intuitionistic fuzzy and hesitant fuzzy environment were developed. Model 1 is fuzzy ideal based computational method for group decision making problems. In this model different functions in form of computational algorithm are used along with fuzzy preference relations. Model 2 is intuitionistic fuzzy entropy and distance measure based TOPSIS method for MCDM and is used to rank different organizations on the basis of some predefined financial criteria. The performance of model 2 is verified by applying it on portfolio selection problem. Model 3 and model 4, are MCGDM methods with incomplete weight information. In model 3, conflicting bifuzzy preference relations and score functions are used for decision making while in model 4, new accuracy function for interval-valued intuitionistic fuzzy values is defined and used in MCDM problem. Both model 3 and model 4, use linear programming model to determine criteria weights. Model 5, is Choquet integral based TOPSIS method in interval-valued intuitionistic hesitant fuzzy environment and deals with the situations where people have hesitation in providing their preferences over objects in decision making. All developed models (model 1 to model 5) are implemented on real life problems of human resource development, portfolio selection, teachers’ performance evaluation and ranking of the organizations. Sensitivity analysis of some models is also done to see the impact of change of criteria weights on final ranking. Also, to examine the validity of ranking results validity test of all models under certain test criteria are also done. | en_US |
| dc.identifier.uri | http://krishikosh.egranth.ac.in/handle/1/80677 | |
| dc.language.iso | en | en_US |
| dc.publisher | G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand) | en_US |
| dc.research.problem | Decision making | en_US |
| dc.sub | Mathematics | en_US |
| dc.sub | Ph.D | |
| dc.subject | fuzzy logic, decision making, resource allocation, human resources | en_US |
| dc.theme | Fuzzy logic | en_US |
| dc.title | Study and applications of fuzzy and intuitionistic fuzzy methods for multicriteria decision making problems | en_US |
| dc.type | Thesis | en_US |