A Novel Group Decision-Making Method Based on Sensor Data and Fuzzy Information

Abstract

Algal bloom is a typical phenomenon of the eutrophication of rivers and lakes and makes the water dirty and smelly. It is a serious threat to water security and public health. Most scholars studying solutions for this pollution have studied the principles of remediation approaches, but few have studied the decision-making and selection of the approaches. Existing research uses simplex decision-making information which is highly subjective and uses little of the data from water quality sensors. To utilize these data and solve the rational decision-making problem, a novel group decision-making method is proposed using the sensor data with fuzzy evaluation information. Firstly, the optimal similarity aggregation model of group opinions is built based on the modified similarity measurement of Vague values. Secondly, the approaches’ ability to improve the water quality indexes is expressed using Vague evaluation methods. Thirdly, the water quality sensor data are analyzed to match the features of the alternative approaches with grey relational degrees. This allows the best remediation approach to be selected to meet the current water status. Finally, the selection model is applied to the remediation of algal bloom in lakes. The results show this method’s rationality and feasibility when using different data from different sources.

Expert Decision Support Technique for Algal Bloom Governance in Urban Lakes Based on Text Analysis

“…Techniques in interdisciplinary fields have been applied in water environment research [17,25]. The decision-making technique based on text analysis provides a new approach to algal bloom governance with methods in management science and computer science.…”

“…Alternatives are assessed by synthesizing scores with methods such as Bayes and fuzzy multi-attribute. In work [16,17], the evaluation expression is improved with Vague set, whose original form is verbal rating scale. The simple form in previous work…”

“…Moreover, many administrators select governance approaches only depending on personal knowledge and experience. Some decision-making methods have been proposed to solve the selection problem [13][14][15][16][17]. Their basic thought is to synthesize the evaluation information from different aspects.…”

Group Decision-Making Support for Sustainable Governance of Algal Bloom in Urban Lakes

“…Most of the proposed methods are based on multi-attribute decision making. In the literature, additional types of information are introduced, including nature language processing and data fusion [10,11].…”

“…Some studies [7][8][9] were conducted on algal bloom governance mainly based on multi-attribute decision making. Moreover, some intelligent methods have been proposed that make use of a correlation analysis and multi-source information fusion [10][11][12]. In these methods, more influence factors are considered for a comprehensive decision.…”