Multi-criteria interval valued intuitionistic fuzzy decision making using a new score function

Proceedings - KIM 2013, Knowledge and Information Management Conference: Sustainable Quality

Volumn , Issue , 2013, Pages 122-131

  Sivaraman, Geetha ^a   Lakshmana Gomathi Nayagam, V ^a   Ponalagusamy, R ^a  

^a NATIONAL INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Accuracy function; Incomplete information; IVIFN; Score function

Indexed keywords

DECISION MAKING; INFORMATION MANAGEMENT;

ACCURACY FUNCTIONS; INCOMPLETE INFORMATION; INTERVAL-VALUED INTUITIONISTIC FUZZY NUMBER; INTERVAL-VALUED INTUITIONISTIC FUZZY SETS; INTUITIONISTIC FUZZY DECISION MAKINGS; IVIFN; MULTI-CRITERIA DECISION PROBLEMS; SCORE FUNCTION;

FUZZY SETS;

EID: 84910685769     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. Atanassov KT (1986) Intuitionistic fuzzy sets Fuzzy sets and Systems 20, 87-96.
2. Atanassov KT, Gargov G (1989) Interval-valued intuitionistic fuzzy sets Fuzzy sets and Systems 31(3) 343-349.
3. Deng Feng Li (2010) A ranking method of triangular intuitionistic fuzzy numbers and application to Decision making International Journal of Computational Intelligence Systems 3(5) 522-530.
4. Ehsan Jafarian (2013) A valuation-based method for ranking the intuitionistic fuzzy numbers Journal of Intelligent and Fuzzy Systems, 24(1) 133-144.
5. Hassan Mishmast Nehi (2010) A New Ranking Method for Intuitionistic Fuzzy Numbers International Journal of Fuzzy Systems, 12(1) 80-86.
6. Herrera F, Herrera-Viedma E (2000) Linguistic decision analysis: Steps for solving decision problems under linguistic information Fuzzy Sets and Systems 115, 67-82.
7. Lakshmana Gomathi Nayagam V, Venkateshwari G, Geetha Sivaraman (2008) Ranking of intutionistic fuzzy numbers. In Proceedings of the IEEE International Conference on Fuzzy Systems (IEEE FUZZ 2008), 1971-1974.
8. Lakshmana Gomathi Nayagam V, Muralikrishnan S, Geetha Sivaraman (2011) Multi Criteria decision making method based on interval valued intuitionistic fuzzy sets Expert Systems with Applications 38 (3), 1464-1467.
9. Mitchell HB (2004) Ranking intuitionistic fuzzy numbers International Journal of Uncertainity Fuzziness and Knowledge Based Systems 12 (3), 377-386.
10. Turksen B (1986) Interval valued fuzzy sets based on normal forms Fuzzy Sets and Systems 20, 191-210.
11. Xu ZS (2007) Methods for aggregating interval-valued intuitionistic fuzzy information and their application to decision making control and decision 22(2), 215-219.
12. Xu ZS, Yager RR (2006) Some geometric aggregation operators based on intuitionistic fuzzy sets International Journal of General System 35, 417-433.
13. Xu ZS, Chen J (2007a) An approach to group decision making based on interval-valued intuitionistic fuzzy judgement matrices System Engineer-Theory and Practice 27(4), 126-133.
14. Xu ZS, Chen J (2007b) On Geometric Aggregation over Interval-Valued Intuitionistic Fuzzy Information. In Proceedings of Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007) 2, 466-471.
15. Ye J (2009) Multicriteria fuzzy decision-making method based on a novel accuracy fuction under interval-valued intuitionistic fuzzy environment Expert Systems with Applications 36, 6899-6902.
16. Zadeh LA (1965) Fuzzy Sets Information and Control 8(3), 338-356.
17. Zhoujing Wang (2009) An approach to multiattribute Decision making with interval valued intuitionistic fuzzy assessments and incomplete weights Information Sciences 179 3026-3040.