A Study on Evaluating Water Resources System Vulnerability by Reinforced Ordered Weighted Averaging Operator

Evaluating the vulnerability of a water resources system is a multicriteria decision analysis (MCDA) problem including multiple indictors and different weights. In this study, a reinforced ordered weighted averaging (ROWA) operator is proposed by incorporating extended ordered weighted average operator (EOWA) and principal component analysis (PCA) to handle the MCDA problem. In ROWA, the weights of indicators are calculated based on component score coefficient and percentage of variance, which makes ROWA avoid the subjective influence of weights provided by different experts. Concretely, the applicability of ROWA is verified by assessing the vulnerability of a water resources system in Handan, China. The obtained results can not only provide the vulnerable degrees of the studied districts but also denote the trend of water resources system vulnerability in Handan from 2009 to 2018. And the indictor that most influenced the outcome is per capita GDP. Compared with EOWA referred to various indictor weights, the represented ROWA shows good objectivity. Finally, this paper also provides the vulnerability of the water resource system in 2025 based on ROWA for water management in Handan City.

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Scheme Choice for Optimal Allocation of Water Resources Based on Fuzzy Language Evaluation and the Generalized Induced Ordered Weighted Averaging Operator

Fuzzy Information and Engineering ◽

10.1007/s12543-011-0075-8 ◽

2011 ◽

Vol 3 (2) ◽

pp. 169-182 ◽

Cited By ~ 3

Author(s):

Fei Ding ◽

Takao Yamashita ◽

Han Soo Lee ◽

Jian-hua Ping

Keyword(s):

Water Resources ◽

Optimal Allocation ◽

Weighted Averaging ◽

Ordered Weighted Averaging ◽

Fuzzy Language ◽

Averaging Operator ◽

Ordered Weighted Averaging Operator

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Nonstationary-Probabilistic Framework to Assess the Water Resources System Vulnerability: Long-Time Robust Plan and Timing

Authorea ◽

10.22541/au.158575719.90657634 ◽

2020 ◽

Author(s):

Saddam Waheed ◽

Neil Grigg ◽

Jorge Ram rez

Keyword(s):

Water Resources ◽

Probabilistic Framework ◽

Water Resources System ◽

System Vulnerability ◽

Long Time

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Spatiotemporal analysis of water resources system vulnerability in the Lancang River Basin, China

Journal of Hydrology ◽

10.1016/j.jhydrol.2021.126614 ◽

2021 ◽

pp. 126614

Author(s):

Zihan Gui ◽

Xiaohong Chen ◽

Yanhu He

Keyword(s):

Water Resources ◽

River Basin ◽

Spatiotemporal Analysis ◽

Water Resources System ◽

Lancang River ◽

System Vulnerability ◽

The Lancang River Basin

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Induced intuitionistic fuzzy ordered weighted averaging: Weighted average operator and its application to business decision-making

Computer Science and Information Systems ◽

10.2298/csis130109046s ◽

2014 ◽

Vol 11 (2) ◽

pp. 839-857 ◽

Cited By ~ 22

Author(s):

Zeng Shouzhen ◽

Wang Qifeng ◽

José Merigó ◽

Pan Tiejun

Keyword(s):

Decision Making ◽

Weighted Average ◽

Aggregation Operator ◽

Weighted Averaging ◽

Business Decision ◽

Ordered Weighted Averaging ◽

Intuitionistic Fuzzy ◽

Fuzzy Weighted Average ◽

Decision Making Problem ◽

Selection Of

We present the induced intuitionistic fuzzy ordered weighted averaging-weighted average (I-IFOWAWA) operator. It is a new aggregation operator that uses the intuitionistic fuzzy weighted average (IFWA) and the induced intuitionistic fuzzy ordered weighted averaging (I-IFOWA) operator in the same formulation. We study some of its main properties and we have seen that it has a lot of particular cases such as the IFWA and the intuitionistic fuzzy ordered weighted averaging (IFOWA) operator. We also study its applicability in a decision-making problem concerning strategic selection of investments. We see that depending on the particular type of I-IFOWAWA operator used, the results may lead to different decisions.

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