2018Journal of Mathematics and InformaticsOpen access

Application of Fuzzy Comprehensive Evaluation in Environmental Quality Assessment

Shi-jing Zhang

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Abstract

In this paper, the fuzzy comprehensive evaluation method is applied to the comprehensive evaluation of environmental quality, and the air quality in Chengdu, China is comprehensively evaluated and sorted.Improvements were made to the principle of obtaining large and small algorithms and maximum degree of membership.Using the analytic hierarchy process, through the establishment of a fuzzy comprehensive-weighted average model, the evaluation results are more in line with the actual situation, and have a certain practical significance for the control of environmental quality.

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What this paper is about

In this paper, the fuzzy comprehensive evaluation method is applied to the comprehensive evaluation of environmental quality, and the air quality in Chengdu, China is comprehensively evaluated and sorted.Improvements were made to the principle of obtaining large and small algorithms and maximum degree of membership.Using the analytic hierarchy process, through the establishment of a fuzzy comprehensive-weighted average model, the evaluation results are more in line with the actual situation, and have a certain practical significance for the control of environmental quality.

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Available abstract

In this paper, the fuzzy comprehensive evaluation method is applied to the comprehensive evaluation of environmental quality, and the air quality in Chengdu, China is comprehensively evaluated and sorted.Improvements were made to the principle of obtaining large and small algorithms and maximum degree of membership.Using the analytic hierarchy process, through the establishment of a fuzzy comprehensive-weighted average model, the evaluation results are more in line with the actual situation, and have a certain practical significance for the control of environmental quality.

Key concepts: Fuzzy logic, Analytic hierarchy process, Quality (philosophy), Computer science, Environmental quality, Evaluation methods, Process (computing), Data mining

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