Main Article Content
Abstract
Keywords
Article Details
References
- Atanassov, KT. and Gargov, ”Interval valued Intuitionistic fuzzy sets”, Fuzzy Sets Syst, 31 (1989), 343-349.
- Atanassov, K.T, ”New operations defined over the intuitionistic fuzzy sets”, Fuzzy Sets Syst, 61 (2), (1994), 137-142.
- Belbag, S. Deveci, Muhammet and Uluda, Ahmet, ”Comparison of two fuzzy multi criteria decision methods for potential airport location selection”, ICORES 2013 - Proceedings of the 2nd International Conference on Operations Research and Enterprise Systems. (2013),
- -276.
- Bolturk Eda, Kahraman and Cengiz , ”Interval-valued Intuitionistic fuzzy CODAS method and its Application to Wave energy facility location selection problem”, J. Intell. Fuzzy Syst., 35 (4) (2018), 4865-4877.
- Deveci M, zcan E, John R, Covrig CF, Pamucar D, ”A study on offshore wind farm siting criteria using a novel interval-valued fuzzy-rough based Delphi method”. Environ. Manage., 270 (1) (2020), 110916. doi: 10.1016/j.jenvman.
- Deveci,M., Dragan, P. and Ilgin, G., ”Fuzzy Power Heronian function based CoCoSo method for the advantage prioritization of autonomous vehicles in real-time traffic management”, Sustainable Cities and Society, 69, (2021), 102846, ISSN 2210-6707, https://doi.org/10.1016/j.scs.2021.102846.
- Dogan, O., Deveci, M., Cantez, F. et al., ”A Corridor selection for locating autonomous vehicles using an interval-valued intuitionistic fuzzy AHP and TOPSIS method”,Soft Comput., 24 (2020), 89378953.
- Feng, Qinrong and Guo, Xiao. , ”Uncertainty Measures of Interval-valued Intuitionistic Fuzzy Soft Sets and their Applications in Decision Making”, Intell. Data Anal., 21 (1) (2017), 77-95.
- Nayagam V L G, Dhanasekharan, P. and Jeevraj, S., ”Similarity Measure on Incomplete Imprecise Interval information and its Applications”, Neural Comput. Appl., 32 (2020), 3749-3761.
- Nihan, C. D., Deveci and Gizem, E., Comparative analysis of fuzzy multi-criteria decision making for location selection of Textile plant in Turkey, Proceedings of International Academic Conferences from International Institute of Social and Economic Sciences, No 400652.
- H.W. Qin, X.Q. Ma, T. Herawan and J.M. Zain, ”An Adjustable approach to IntervalValued Intuitionistic Fuzzy Soft Sets based Decision making”, In: Lecture Notes in Computer Science, Springer-Verlag, 6592 (2011), 80-89.
- Liu, Y. and Jiang, W., ”A New Distance Measure of Interval-Valued Intuitionistic fuzzy sets and its Application in Decision making”, Soft Comput., 24 (2020), 6987-7003.
- Michael Levandowsky and David, W. ”Distance between Sets”, Nature 134 (1971), 34 -35.
- Sireesha, V. and Hima bindu, K., ”Decision making with Unknown criteria weight information in the Frame work of Interval Valued Trapezoidal Intuitionistic Fuzzy Sets”, Internat. J. Innov. Tech. Explo. Eng., 9 (1) (2019), 4424-4429.
- V Anusha and V Sireesha, ”Ranking Interval Valued Intuitionistic Fuzzy Sets by a New Distance Measure”, Adv. Math., Sci. J., 10 (3) (2021), 1249-1258.
- Xu, Z. and Chen, ”An Overview of Distance and Similarity measures of Intuitionistic Fuzzy Sets”, Internatl J. Uncertainty, Fuzziness and Knowledge-Based Systems, 16 (2008), 529-555.
- Ye, J., ”Cosine similarity measures for intuitionistic fuzzy sets and their applications”, Math. Comput. Model., 53 (1-2) (2011), 91-97.
- Zhang, Q.S., Yao, H.X. and Zhang, Z.H., ”Some Similarity Measures of Interval-Valued Intuitionistic Fuzzy Sets and Application to Pattern Recognition”, App. Mech. Mater., 4447, 38883892
References
Atanassov, KT. and Gargov, ”Interval valued Intuitionistic fuzzy sets”, Fuzzy Sets Syst, 31 (1989), 343-349.
Atanassov, K.T, ”New operations defined over the intuitionistic fuzzy sets”, Fuzzy Sets Syst, 61 (2), (1994), 137-142.
Belbag, S. Deveci, Muhammet and Uluda, Ahmet, ”Comparison of two fuzzy multi criteria decision methods for potential airport location selection”, ICORES 2013 - Proceedings of the 2nd International Conference on Operations Research and Enterprise Systems. (2013),
-276.
Bolturk Eda, Kahraman and Cengiz , ”Interval-valued Intuitionistic fuzzy CODAS method and its Application to Wave energy facility location selection problem”, J. Intell. Fuzzy Syst., 35 (4) (2018), 4865-4877.
Deveci M, zcan E, John R, Covrig CF, Pamucar D, ”A study on offshore wind farm siting criteria using a novel interval-valued fuzzy-rough based Delphi method”. Environ. Manage., 270 (1) (2020), 110916. doi: 10.1016/j.jenvman.
Deveci,M., Dragan, P. and Ilgin, G., ”Fuzzy Power Heronian function based CoCoSo method for the advantage prioritization of autonomous vehicles in real-time traffic management”, Sustainable Cities and Society, 69, (2021), 102846, ISSN 2210-6707, https://doi.org/10.1016/j.scs.2021.102846.
Dogan, O., Deveci, M., Cantez, F. et al., ”A Corridor selection for locating autonomous vehicles using an interval-valued intuitionistic fuzzy AHP and TOPSIS method”,Soft Comput., 24 (2020), 89378953.
Feng, Qinrong and Guo, Xiao. , ”Uncertainty Measures of Interval-valued Intuitionistic Fuzzy Soft Sets and their Applications in Decision Making”, Intell. Data Anal., 21 (1) (2017), 77-95.
Nayagam V L G, Dhanasekharan, P. and Jeevraj, S., ”Similarity Measure on Incomplete Imprecise Interval information and its Applications”, Neural Comput. Appl., 32 (2020), 3749-3761.
Nihan, C. D., Deveci and Gizem, E., Comparative analysis of fuzzy multi-criteria decision making for location selection of Textile plant in Turkey, Proceedings of International Academic Conferences from International Institute of Social and Economic Sciences, No 400652.
H.W. Qin, X.Q. Ma, T. Herawan and J.M. Zain, ”An Adjustable approach to IntervalValued Intuitionistic Fuzzy Soft Sets based Decision making”, In: Lecture Notes in Computer Science, Springer-Verlag, 6592 (2011), 80-89.
Liu, Y. and Jiang, W., ”A New Distance Measure of Interval-Valued Intuitionistic fuzzy sets and its Application in Decision making”, Soft Comput., 24 (2020), 6987-7003.
Michael Levandowsky and David, W. ”Distance between Sets”, Nature 134 (1971), 34 -35.
Sireesha, V. and Hima bindu, K., ”Decision making with Unknown criteria weight information in the Frame work of Interval Valued Trapezoidal Intuitionistic Fuzzy Sets”, Internat. J. Innov. Tech. Explo. Eng., 9 (1) (2019), 4424-4429.
V Anusha and V Sireesha, ”Ranking Interval Valued Intuitionistic Fuzzy Sets by a New Distance Measure”, Adv. Math., Sci. J., 10 (3) (2021), 1249-1258.
Xu, Z. and Chen, ”An Overview of Distance and Similarity measures of Intuitionistic Fuzzy Sets”, Internatl J. Uncertainty, Fuzziness and Knowledge-Based Systems, 16 (2008), 529-555.
Ye, J., ”Cosine similarity measures for intuitionistic fuzzy sets and their applications”, Math. Comput. Model., 53 (1-2) (2011), 91-97.
Zhang, Q.S., Yao, H.X. and Zhang, Z.H., ”Some Similarity Measures of Interval-Valued Intuitionistic Fuzzy Sets and Application to Pattern Recognition”, App. Mech. Mater., 4447, 38883892