Hybrid fuzzy multi-criteria decision making to solve the irrigation water allocation problem in the Tunisian case

被引：45

作者：

Elleuch, Mohamed Ali ^{[1
]}

Anane, Makram ^{[3
]}

Euchi, Jalel ^{[1
,2
]}

Frikha, Ahmed ^{[1
]}

机构：

[1] Sfax Univ, LOGIQ Lab, Higher Inst Ind Management, Tunis Rd Km 10-5 Technopolis Sfax 3021,BP 1164, Sfax, Tunisia

[2] Qassim Univ, CBE, Buraydah, Saudi Arabia

[3] Borj Cedria Techno Pk, Lab Wastewater & Environm, Soliman 8020, Tunisia

来源：

AGRICULTURAL SYSTEMS | 2019年 / 176卷

关键词：

Economic return objective; Fuzzy MCDM methods; Irrigation water; Water resource allocation; MODEL;

D O I：

10.1016/j.agsy.2019.102644

中图分类号：

S [农业科学];

学科分类号：

09 ;

摘要：

Modernization and optimization of irrigated agriculture management can involve substantial conflicting factors using the opinions of experts. A combined approach based on concepts of Fuzzy Multi-Criteria Decision-Making (FMCDM) methods and Mathematical Optimization Programming (MOP) model for water allocation problem has been developed. In the first phase, we calculate the criteria weights using fuzzy AHP with water expert opinions. Then, we determine the performance of various water resources performed through the application of the fuzzy TOPSIS method. In the second phase, we solve the water resource allocation using the MOP model with the Multi-Criteria Decision-Making (MCDM) results. The allocation of irrigation water resources using the proposed approach was tested on Sfax irrigation district, southern Tunisia. The achieved results indicate that the combination of the fuzzy MCDM model and the MOP methods provide effective linkages between irrigation expert opinions, economic return, and performance of water resource objectives.

引用

页数：13

共 22 条

[1] Applications of the extent analysis method on fuzzy AHP [J].

Chang, DY .

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1996, 95 (03) :649-655

[2] Using the fuzzy multi-criteria decision making approach for measuring the possibility of successful knowledge management [J].

Chang, Tsung-Han ;

Wang, Tien-Chin .

INFORMATION SCIENCES, 2009, 179 (04) :355-370

[3] Using Stochastic Dynamic Programming to Support Water Resources Management in the Ziya River Basin, China [J].

Davidsen, Claus ;

Pereira-Cardenal, Silvio J. ;

Liu, Suxia ;

Mo, Xingguo ;

Rosbjerg, Dan ;

Bauer-Gottwein, Peter .

JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 2015, 141 (07)

[4]

Elleuch Mohamed Ali, 2019, International Journal of Water, V13, P80, DOI 10.1504/IJW.2019.097320

[5] The vehicle routing problem with private fleet and multiple common carriers: Solution with hybrid metaheuristic algorithm [J].

Euchi, Jalel .

VEHICULAR COMMUNICATIONS, 2017, 9 :97-108

[6]

Febriamansyah Rudy, 2018, USE AHP ANALYTIC HIE

[7] A hybrid TOPSIS-agent-based framework for reducing the water demand requested by stakeholders with considering the agents' characteristics and optimization of cropping pattern [J].

Ghazali, Mahboubeh ;

Honar, Tooraj ;

Nikoo, Mohammad Reza .

AGRICULTURAL WATER MANAGEMENT, 2018, 199 :71-85

[8] A Hybrid Dynamic Dual Interval Programming for Irrigation Water Allocation under Uncertainty [J].

Jin, Lei ;

Huang, Guohe ;

Fan, Yurui ;

Nie, Xianghui ;

Cheng, Guanhui .

WATER RESOURCES MANAGEMENT, 2012, 26 (05) :1183-1200

[9] Evaluation of customer oriented success factors in mobile commerce using fuzzy AHP [J].

Kabir, Golam ;

Hasin, M. Ahsan Akhtar .

JOURNAL OF INDUSTRIAL ENGINEERING AND MANAGEMENT-JIEM, 2011, 4 (02) :361-386

[10] An interval multi-objective programming model for irrigation water allocation under uncertainty [J].

Li, Mo ;

Fu, Qiang ;

Singh, Vijay P. ;

Liu, Dong .

AGRICULTURAL WATER MANAGEMENT, 2018, 196 :24-36

← 1 2 3 →