Operators over interval valued intuitionistic fuzzy sets
Fuzzy Sets and Systems
Handling multicriteria fuzzy decision-making problems based on vague set theory
Fuzzy Sets and Systems
Vague sets are intuitionistic fuzzy sets
Fuzzy Sets and Systems
Linguistic decision analysis: steps for solving decision problems under linguistic information
Fuzzy Sets and Systems - Special issue on soft decision analysis
Rough sets and intelligent data analysis
Information Sciences—Informatics and Computer Science: An International Journal
Multiattribute decision making models and methods using intuitionistic fuzzy sets
Journal of Computer and System Sciences
Multicriteria fuzzy decision-making methods based on intuitionistic fuzzy sets
Journal of Computer and System Sciences
Intuitionistic preference relations and their application in group decision making
Information Sciences: an International Journal
Interval ordered information systems
Computers & Mathematics with Applications
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
Incomplete information system andits optimal selections
Computers & Mathematics with Applications
IHMSC '09 Proceedings of the 2009 International Conference on Intelligent Human-Machine Systems and Cybernetics - Volume 02
Fuzzy Sets and Systems
Multi-criteria decision-making method based on interval-valued intuitionistic fuzzy sets
Expert Systems with Applications: An International Journal
Ranking of interval-valued intuitionistic fuzzy sets
Applied Soft Computing
A two-grade approach to ranking interval data
Knowledge-Based Systems
Intuitionistic Fuzzy Aggregation Operators
IEEE Transactions on Fuzzy Systems
| Hi-index | 12.05 |
The information received from a source, represented by an information system, involves quantitative, qualitative and incomplete information. Such incomplete information are fed into the intelligent system for enhancing accuracy using interval-valued intuitionistic fuzzy numbers (IVIFN). Ranking of IVIFN is an important component of any incomplete interval information system. But existing techniques do not give complete information about alternatives in some cases. In this paper, a new method for complete ranking of incomplete interval information using axiomatic set of membership, non membership, vague and precise score functions to IVIFN is proposed and compared with existing techniques using an illustrative example.