An ideal interval method of multi-objective decision-making for comprehensive assessment of water resources renewability

2004 ◽  
Vol 47 (8) ◽  
pp. 42 ◽  
Author(s):  
Xiaohua YANG
2009 ◽  
Vol 11 (1) ◽  
pp. 79-88 ◽  
Author(s):  
M. Janga Reddy ◽  
D. Nagesh Kumar

Optimal allocation of water resources for various stakeholders often involves considerable complexity with several conflicting goals, which often leads to multi-objective optimization. In aid of effective decision-making to the water managers, apart from developing effective multi-objective mathematical models, there is a greater necessity of providing efficient Pareto optimal solutions to the real world problems. This study proposes a swarm-intelligence-based multi-objective technique, namely the elitist-mutated multi-objective particle swarm optimization technique (EM-MOPSO), for arriving at efficient Pareto optimal solutions to the multi-objective water resource management problems. The EM-MOPSO technique is applied to a case study of the multi-objective reservoir operation problem. The model performance is evaluated by comparing with results of a non-dominated sorting genetic algorithm (NSGA-II) model, and it is found that the EM-MOPSO method results in better performance. The developed method can be used as an effective aid for multi-objective decision-making in integrated water resource management.


2012 ◽  
Vol 212-213 ◽  
pp. 554-559
Author(s):  
Wen Sheng Dong ◽  
Hui Wang

Optimal allocation problem of water resources has some features that principal and subordinate hierarchical, multi-objective, multi-stage, risk decision-making, etc. Aimed to these characteristics, this paper constructs multiple objective risk decision model under principal and subordinate hierarchical risk decision-making, and by integrating a variety of optimization algorithms for solving idea ( such as fuzzy stochastic simulating technique, multi-objective satisfactory degree computation, principal and subordinate hierarchical game, and evolutionary game solving technology based on particle swarm algorithm), established an algorithm system of possessing logical relations. The result is convincible after a case study.


2014 ◽  
Vol 955-959 ◽  
pp. 2955-2962
Author(s):  
Fan Lu ◽  
Ming Na Wang ◽  
Dong Dong Zhang ◽  
Zhi Guo Gan ◽  
Bai Sha Weng

This paper aims at comprehensively considering the mutual coupling between available water resources and water consumption in (i) a regional social economy system; (ii) a macro-economy system; and (iii) an ecological environmental system. The main focus is to investigate the impact of controlling the total amount of ET and to be able to utilize water resources efficiently. An analytic model for multi-objective decision making of water demand management based on ET indicator is developed in order to research the strategies and corresponding water demand schemes that are relevant to future objectives for economic development, agricultural development, ET regulation and control, water engineering investment, and water environment management of Beijing. Various scenarios examined in the study indicate the validity of the proposed method in analyzing water demand administrative decisions.


Author(s):  
Zengchuan Dong ◽  
Xiaokuan Ni ◽  
Mufeng Chen ◽  
Hongyi Yao ◽  
Wenhao Jia ◽  
...  

Author(s):  
Shreyanshu Parhi ◽  
S. C. Srivastava

Optimized and efficient decision-making systems is the burning topic of research in modern manufacturing industry. The aforesaid statement is validated by the fact that the limitations of traditional decision-making system compresses the length and breadth of multi-objective decision-system application in FMS.  The bright area of FMS with more complexity in control and reduced simpler configuration plays a vital role in decision-making domain. The decision-making process consists of various activities such as collection of data from shop floor; appealing the decision-making activity; evaluation of alternatives and finally execution of best decisions. While studying and identifying a suitable decision-making approach the key critical factors such as decision automation levels, routing flexibility levels and control strategies are also considered. This paper investigates the cordial relation between the system ideality and process response time with various prospective of decision-making approaches responsible for shop-floor control of FMS. These cases are implemented to a real-time FMS problem and it is solved using ARENA simulation tool. ARENA is a simulation software that is used to calculate the industrial problems by creating a virtual shop floor environment. This proposed topology is being validated in real time solution of FMS problems with and without implementation of decision system in ARENA simulation tool. The real-time FMS problem is considered under the case of full routing flexibility. Finally, the comparative analysis of the results is done graphically and conclusion is drawn.


Water Policy ◽  
2020 ◽  
Vol 22 (4) ◽  
pp. 622-640
Author(s):  
D. D. Costa e Silva ◽  
H. M. L. Chaves ◽  
W. F. Curi ◽  
J. G. V. Baracuhy ◽  
T. P. S. Cunha

Abstract The current worldwide water resources issue is one of the crucial matters to overcome obstacles to sustainable development. This problem, formerly tackled in a sectored manner, is now pointing towards an analysis directed to treating the watershed as a management unit, with regards to all dimensions of knowledge and, especially, to the public participation in the decision-making processes. As an alternative to measure its performance, it has been sought out to develop indexes aimed to measure its sustainability, but there is still a lack of the use of composed efficient methodologies that also enable public participation in decision-making. This research presents a methodology comprising 15 indexes for the calculation of the Watershed Sustainability Index (WSI), followed by the application of the PROMETHEE multi-criteria analysis method and the COPELAND multi-decision-maker method. The methodology was applied to evaluate the performance of subwatersheds of the Piranhas-Açu watershed, located in the Brazilian northeast semi-arid region. The performance ordering, obtained through the application of the methods, emphasizes that subwatersheds' performances are uneven. It can be noticed that the subwatersheds' performances are still far from ideal in relation to water resources management, even in the ones that displayed satisfactory index levels.


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