Multi-criteria decision making of water resource management problem (in Agriculture field, Purulia district) based on possibility measures under generalized single valued non-linear bipolar neutrosophic environment

Expert Systems with Applications - Tập 205 - Trang 117715 - 2022
Totan Garai1, Harish Garg2
1Department of Mathematics, Syamsundar College, Syamsundar, Purba Bardhaman 713424, West Bengal, India
2School of Mathematics, Thapar Institute of Engineering and Technology (Deemed University), Patiala, 147004, Punjab, India

Tóm tắt

Từ khóa


Tài liệu tham khảo

Agheli, 2021, Similarity measure for pythagorean fuzzy sets and application on multiple criteria decision making, Journal of Statistics and Management Systems, 28, 1

Alamanos, 2018, An integrated multi-criteria analysis tool for evaluating water resource management strategies, Water, 10, 1, 10.3390/w10121795

Alamanos, 2017, Integrated water resources management in agro-economy using linear programming: The case of lake karla basin, Greece, European Water Journal, 60, 41

Alghamdi, 2018, Multi-criteria decision-making methods in bipolar fuzzy environment, International Journal of Fuzzy System, 18, 1

Bauri, 2020, Indigenous knowledge and practices on water conservation and management in purulia district, west bengal, Journal of Environment & Sociobiology, 17, 89

Bender, 2000, A fuzzy compromise approach to water resource system planning under uncertainty, Fuzzy Sets and Systems, 115, 35, 10.1016/S0165-0114(99)00025-1

Carlsson, 2001, On possibilistic mean value and variance of fuzzy numbers, Fuzzy Sets and Systems, 122, 315, 10.1016/S0165-0114(00)00043-9

Chakraborty, 2019, Disjunctive representation of triangular bipolar neutrosophic numbers, de-bipolarization technique and application in multi-criteria decision-making problems, Symmetry, 11, 9, 10.3390/sym11070932

Chen, 2020, A choquet integral based fuzzy logic approach to solve uncertain multi-criteria decision making problem, Expert Systems with Applications, 149, 10.1016/j.eswa.2020.113303

Chen, 2021, A heterogeneous GRA-CBR-based multi-attribute emergency decision-making model considering weight optimization with dual information correlation, Expert Systems with Applications, 10.1016/j.eswa.2021.115208

Chiao, 2021, Multi-criteria decision making with interval type 2 fuzzy Bonferroni mean, Expert Systems with Applications, 176, 10.1016/j.eswa.2021.114789

Das, 2019, Modelling groundwater potential zones of Purulia district, West Bengal, India uusing remote sensing and GIS techniques, Geology, Ecology and Landscapes, 3, 223, 10.1080/24749508.2018.1555740

Deli, M., Ali, F., & Smarandache, F. (2015). Bipolar neutrosophic sets and their application based on multi-criteria decision making problems. In Proceedings of the 2015 international conference on advanced mechatronic systems, Beiging, China (pp. 249–254).

Deli, 2017, A ranking method of single valued neutrosophic numbers and its applications to multi attribute decision making problem, International Journal of Machine Learning and Cybernetics, 8, 1309, 10.1007/s13042-016-0505-3

Dey, 2016, TOPSIS for solving multi-attribute decision making problems under bipolar neutrosophic environment, 65

Dong, 2016, Generalized choquet integral operator of triangular atanassov’s intuitionistic fuzzy numbers and application to multi-attribute group decision making, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 24, 647, 10.1142/S0218488516500306

Dong, 2016, A new method for prioritized multi-criteria group decision making with triangular intuitionistic fuzzy numbers, Journal of Intelligent & Fuzzy Systems, 30, 1719, 10.3233/IFS-151882

Dong, 2016, A new method for multi-attribute group decision making with triangular intuitionistic fuzzy numbers, Kybernetes, 45, 158, 10.1108/K-02-2015-0058

Dubois, 1987, The mean value of a fuzzy number, Fuzzy Sets and Systems, 24, 279, 10.1016/0165-0114(87)90028-5

Fan, 2019, An extended MABAC method for multi-criteria group decision making based on intuitionistic fuzzy rough numbers, Expert Systems with Applications, 127, 241, 10.1016/j.eswa.2019.03.016

Fuller, 2003, On weighted possibilistic mean and variance of fuzzy numbers, Fuzzy Sets and Systems, 136, 363, 10.1016/S0165-0114(02)00216-6

Garai, 2018, A multi-item generalized intuitionistic fuzzy inventory model with inventory level dependent demand using possibility mean, variance and covariance, Journal of Intelligent & Fuzzy Systems, 35, 1021, 10.3233/JIFS-17298

Garai, 2020, Possibility mean variance and standard deviation of single valued neutrosophic numbers and its applications to multi-attribute decision making problems, Soft Computing, 24, 18795, 10.1007/s00500-020-05112-2

Garai, 2020, A ranking method based on possibility mean for multi-attribute decision making with single valued neutrosophic numbers, Journal of Ambient Intelligence and Humanized Computing, 11, 5245, 10.1007/s12652-020-01853-y

Garg, 2018, Multi-criteria decision-making method based on prioritized muirhead mean aggregation operator under neutrosophic set environment, Symmetry, 10, 1, 10.3390/sym10070280

Ghanbari, 2018, A direct method to compare bipolar LR fuzzy numbers, Advances in Fuzzy Systems, 2018, 1, 10.1155/2018/9578270

Golfaml, 2019, Evaluation of the VIKOR and FOWA multi-criteria decision making methods for climate-change adaptation of agricultural water supply, Water Resources Management, 33, 2867, 10.1007/s11269-019-02274-z

Hajkowicz, 2007, A review of multiple criteria analysis for water resource planning and management, Water Resource Management, 21, 1553, 10.1007/s11269-006-9112-5

Mimi, Z. A., & Smith, M. D. (1999). Selection of water resources management options. In 25th WEDC conference on integrated development for water supply and sanitation. Addis Ababa, Ethiopia.

Mohtashami, 2021, A novel modified fuzzy best-worst multi-criteria decision-making method, Expert Systems with Applications, 181, 10.1016/j.eswa.2021.115196

Riaz, 2021, Multi-criteria decision making based on bipolar picture fuzzy operators and new distance measures, Computer Modelling in Engineering & Sciences, 127, 771, 10.32604/cmes.2021.014174

Sarwar, 2017, Certain algorithms for computing strength of competition in bipolar fuzzy graphs, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 25, 877, 10.1142/S0218488517500374

Sarwar, 2017, Novel concepts of bipolar fuzzy competition graphs, Journal of Applied Mathematics Computing, 54, 511, 10.1007/s12190-016-1021-z

Smarandache, 1998

Stanescu, 2010

Tecle, 1988

Tian, 2020, An integrated picture fuzzy ANP-TODIM multi-criteria decision-making approach for tourism attraction recommendation, Technological and Economic Development of Economy, 26, 331, 10.3846/tede.2019.11412

Tian, 2019, Weighted picture fuzzy aggregation operators and their applications to multi-criteria decision-making problems, Computers & Industrial Engineering, 137, 10.1016/j.cie.2019.106037

Wan, 2013, Multi-attribute decision making method based on possibility variance coefficient of triangular intuitionistic fuzzy numbers, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 21, 223, 10.1142/S0218488513500128

Wan, 2014, Possibility method for triangular intuitionistic fuzzy multi-attribute group decision making with incomplete weight information, International Journal of Computational Intelligence Systems, 7, 65, 10.1080/18756891.2013.857150

Wan, 2015, Trapezoidal intuitionistic fuzzy prioritized aggregation operators and application to multi-attribute decision making, Iranian Journal of Fuzzy Systems, 12, 1

Wan, 2013, Possibility mean, variance and covariance of triangular intuitionistic fuzzy numbers, Journal of Intelligent & Fuzzy Systems, 24, 847, 10.3233/IFS-2012-0603

Wan, 2017, MAGDM based on triangular Atanassov’s intuitionistic fuzzy information aggregation, Neural Computing and Applications, 28, 2687, 10.1007/s00521-016-2196-9

Wan, 2013, The extended VIKOR method for multi-attribute group decision making with triangular intuitionistic fuzzy numbers, Knowledge-Based Systems, 52, 65, 10.1016/j.knosys.2013.06.019

Wan, 2016, Some new generalized aggregation operators for triangular intuitionistic fuzzy numbers and application to multi-attribute group decision making, Computers & Industrial Engineering, 93, 286, 10.1016/j.cie.2015.12.027

Wan, 2016, Power average of trapezoidal intuitionistic fuzzy numbers using strict t-norms and t-conorms, IEEE Transactions on Fuzzy Systems, 24, 1035, 10.1109/TFUZZ.2015.2501408

Wan, 2016, Triangular intuitionistic fuzzy triple Bonferroni harmonic mean operators and application to multi-attribute group decision making, Iranian Journal of Fuzzy Systems, 13, 117

Wang, 2021, BW-MaxEnt: A novel MCDM method for limited knowledge, Mathematics, 9

Wang, H., Smarandache, F., Zhang, Y., & Sunderraman, R. (2010). Single valued neutrosophic sets. In Multi-space and multi-structure; infinite study (pp. 410–413). New Delhi, India: 4.

Wang, 2021, The recommendation method for hotel selection under traveller preference characteristics: A cloud-based multi-criteria group decision support model, Group Decision and Negotiation, 135

Yilmaz, 2010, Multi-criteria decision making for water resource management: A case study of gediz river basin, Turkey, Water SA, 36, 563, 10.4314/wsa.v36i5.61990

Zadeh, 1965, Fuzzy sets, Information Control, 8, 338, 10.1016/S0019-9958(65)90241-X

Zadeh, 1978, Fuzzy sets as a basis for a theory of possibility, Fuzzy Sets and Systems, 1, 3, 10.1016/0165-0114(78)90029-5

Zarghaami, 2009, Fuzzy multiple attribute decision making on water resources projects case study: Ranking water transfer to zayanderud basin in Iran, Water International, 32, 280, 10.1080/02508060708692207

Zavadskas, 2015, Multi-criteria selection of a deep-water port in the eastern baltic sea, Applied Soft Computing, 15, 180, 10.1016/j.asoc.2014.09.019

Zhang, W. R. (1994). Bipolar fuzzy sets and relations: A computational framework for cognitive modelling and multi agent decision analysis. In Processing of the IEEE conference, fuzzy information processing society biannual conference, San Antonio, TX, USA (pp. 305–309).