An Improved Fuzzy Analytic Hierarchy Process for the Allocation of Water Rights to Industries in Northeast China

Gao, Juanjuan; He, Huaxiang; An, Qiang; Xie, Jiqiang; Cui, Yanhong; Xie, Xinmin

doi:10.3390/w12061719

Cited by 4 publications

(7 citation statements)

References 25 publications

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“…In An Giang the Northeast and the Southeast regions have bad quality water due to high Arsenic amount in water caused in monsoon season due to sediment deposition. Whereas, it also has bad ground water quality due to the combined effect of human and natural activities [2,15]. In areas, wherever groundwater is extracted for irrigation it had high values of GWQI links with high Arsenic content.…”

Section: Related Workmentioning

confidence: 99%

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Assessment of Water Quality using Fuzzy-AHP and TOPSIS

Sonavane¹,

Narkhede²,

Pawar³

et al. 2021

ITM Web Conf.

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The quality of water available to people has deteriorated because of the vast increase in global industries. The overall quality of water has reduced due to the high use of fertilizers in farms and chemicals in sectors such as mining and construction. The quality of water has a direct impact on the health of humans and hence it is necessary to evaluate the quality of drinking water. The quality of water is dependent on various substances like pH, ammonia, iron, arsenic etc. present in water. If these parameters are available in an appropriate amount in water then only the water is considered as of good quality. The problem of assessing water quality is usually considered as multi-criteria decision problem. In this paper an approach to evaluate quality of water using Fuzzy Analytical Hierarchical Process (Fuzzy-AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is proposed. The parameters which are considered for evaluation include Arsenic, Ammonia , Iron , Nitrate , Dissolved Oxygen and Ph. The relative importance of these parameters is utilized while applying the Fuzzy-AHP process and weights for each parameter are computed. The various datasets containing values for considered parameters are collected and the weights are used to assign quality levels to these water samples. The paper also gives the performance analysis of the proposed method in terms of accuracy. The accuracy is measured in terms of how many water samples are assigned correct quality level and the results show that the proposed method has better accuracy as compared to traditional AHP and Fuzzy-AHP method.

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Section: Related Workmentioning

confidence: 99%

“…The unsuitable use Groundwater may be a significant issue as the rapidly increasing population and also the expansion of social economy has incremented the utilization of water resources [15]. Due to which there is a disparity between accessible water and demanded water in few areas.…”

Section: Related Workmentioning

confidence: 99%

Assessment of Water Quality using Fuzzy-AHP and TOPSIS

Sonavane¹,

Narkhede²,

Pawar³

et al. 2021

ITM Web Conf.

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“…Alphonce [ 50 ] suggested the potential application of AHP in agricultural decision-making such as resource allocation, subsistence farming, or determination of the production technology. Other studies focus on the development of decision-making models; to select the most appropriate irrigation method [ 51 , 52 ], to select irrigation water optimal allocation [ 53 , 54 ], for the assessment of irrigation water quality [ 55 ], for the evaluation of agricultural water management [ 56 ], and in the improvement of irrigation projects [ 57 ]. However, no AHP studies have been found aimed at the construction of an integrative and comprehensive indicator of irrigation efficiency.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Irrigation Water Use Efficiency in Citrus Orchards Using AHP

Poveda-Bautista

Merino

Puerto

et al. 2021

IJERPH

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Irrigation water use efficiency, the small size of the orchards, and part-time farmers are major issues for Spanish citriculture. How should irrigation water use efficiency be assessed? Does irrigation water use efficiency improve when increasing the size of the orchards? Are full-time farmers more efficient in irrigation water use than part-time ones? To address these three questions, we propose to apply a new multicriteria approach based on the analytic hierarchy process (AHP) technique and the participation of a group of experts. A new synthetic irrigation efficiency index (IEI) was proposed and tested using data from an irrigation community (IC) and a cooperative of farmers in the East of Spain. The results showed that the size of the orchards had no relation with the IEI scoring but full-time farmers tended to have better IEI scores and, thus, were more efficient. These results were obtained from a sample of 24 orchards of oranges, navelina variety, growing in a very similar environment, and agronomical characteristics. The proposed methodology can be a useful benchmarking tool for improving the irrigation water management in other ICs taking into account the issues related to farm data sharing recorded during the case study.

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“…With the development of satellite-based remote sensing techniques, gross primary production and evapotranspiration provided by MODIS products were used to analyze spatial and temporal patterns of WUE, as well as its relationships with environmental factors [33,43]. Compared to other evaluation methods, the fuzzy evaluation method has the advantage of clear results and a strong system, and it is mostly adopted to solve these problems that are fuzzy and difficult to quantify, especially non-deterministic problems [44]. Moreover, fuzzy mathematics is capable of taking fuzzy objects to be examined and fuzzy concepts reflecting fuzzy objects as certain fuzzy sets, and establishing appropriate membership functions [45].…”

Section: Introductionmentioning

confidence: 99%

“…Apart from a single evaluation method, some coupled methods were proposed in assessment of agricultural WUE, because these methods are likely to take advantage of multiple evaluation methods [46]. Taking the fuzzy analytic hierarchy process (FAHP) method as an example, the analytic hierarchy process is flexible to applicate and suitable for handling complex real-life problems, while fuzzy decision theory can make up for deficiencies and limitations, including uncertainty and poor reliability of determining index weights [44]. In spite of the good performance of the fuzzy analytic hierarchy process method, there is still room to deal with the nonlinear problem [47].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Agricultural Water Use Efficiency Based on Analytic Hierarchy Process and Fuzzy Comprehensive Evaluation in Xinjiang, China

Song

Wang

et al. 2020

Water

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Improving agricultural water use efficiency (WUE) and reducing the proportion of agricultural water consumption are of great significance for coping with the water crisis in the world, particularly in northwest China. However, considering the lack of WUE indicators for the selection and an evaluation of system construction in Xinjiang, the implementation of the strictest water resources management system in this province has been seriously restricted. In order to evaluate the agricultural water utilization situation of 14 administrative regions in Xinjiang, a synthetical evaluation model is proposed combining the analytic hierarchy process method and the fuzzy evaluation method. Firstly, an evaluation system composed of the target layer (i.e., water use efficiency), the criterion layer (i.e., water use situation, engineering measure, planting structure) and the index layer (e.g., utilization coefficient of irrigation water, weighting irrigation quota, grain production per cubic meter of irrigation water, etc.) is constructed. Secondly, a classification standard of evaluation indicators is put forward and a fuzzy evaluation model is introduced into calculate agricultural WUE. Finally, key evaluation indicators that lead to these administrative regions with very low WUE are identified, and discussions on improving agricultural WUE in Kashgar are made. The evaluation results of this study are beneficial for providing support for reforming agricultural water use and promoting sustainable agricultural development in Xinjiang.

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An Improved Fuzzy Analytic Hierarchy Process for the Allocation of Water Rights to Industries in Northeast China

Cited by 4 publications

References 25 publications

Assessment of Water Quality using Fuzzy-AHP and TOPSIS

Assessment of Water Quality using Fuzzy-AHP and TOPSIS

Assessment of Irrigation Water Use Efficiency in Citrus Orchards Using AHP

Analysis of Agricultural Water Use Efficiency Based on Analytic Hierarchy Process and Fuzzy Comprehensive Evaluation in Xinjiang, China

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