scholarly journals A novel MADM algorithm for landfill site selection based on q-rung orthopair probabilistic hesitant fuzzy power Muirhead mean operator

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0258448
Author(s):  
Yaojun Ren ◽  
Xiujiu Yuan ◽  
Ruojing Lin
Keyword(s):  
Decision Making ◽  
Decision Maker ◽  
Site Selection ◽  
Rapid Development ◽  
Landfill Site ◽  
Parameter Analysis ◽  
Uncertain Information ◽  
Solid Waste Disposal ◽  
Landfill Site Selection ◽  
Negative Effect

With the rapid development of economy and the acceleration of urbanization, the garbage produced by urban residents also increases with the increase of population. In many big cities, the phenomenon of "garbage siege" has seriously affected the development of cities and the lives of residents. Sanitary landfill is an important way of municipal solid waste disposal. However, due to the restriction of social, environmental and economic conditions, landfill site selection has become a very challenging task. In addition, landfill site selection is full of uncertainty and complexity due to the lack of cognitive ability of decision-makers and the existence of uncertain information in the decision-making process. Therefore, a novel multi-attribute decision making method based on q-rung orthopair probabilistic hesitant fuzzy power weight Muirhead mean operator is proposed in this paper, which can solve the problem of landfill site selection well. This method uses probability to represent the hesitance of decision maker and retains decision information more comprehensively. The negative effect of abnormal data on the decision result is eliminated by using the power average operator. Muirhead mean operator is used to describe the correlation between attributes. Then, an example of landfill site selection is given to verify the effectiveness of the proposed method, and the advantages of the proposed method are illustrated by parameter analysis and comparative analysis. The results show that this method has a wider space for information expression, gives the decision maker a great degree of freedom in decision-making, and has robustness.

scholarly journals A Novel Multi-Attribute Decision-Making Algorithm for Landfill Site Selection Based on Q-Rung Orthopair Probabilistic Hesitant Fuzzy Power Weight Muirhead Mean Operator

2021 ◽  
Author(s):  
Yaojun Ren ◽  
Xiujiu Yuan ◽  
Ruojing Lin
Keyword(s):  
Decision Making ◽  
Decision Maker ◽  
Site Selection ◽  
Landfill Site ◽  
Decision Makers ◽  
Parameter Analysis ◽  
Power Weight ◽  
Landfill Site Selection ◽  
Multi Attribute Decision Making ◽  
The Impact

Abstract BackgroundWith the rapid development of economy and the acceleration of urbanization, the garbage produced by urban residents also increases with the increase of population. In many big cities, the phenomenon of "garbage siege" has seriously affected the development of cities and the lives of residents. Sanitary landfill is an important way of municipal solid waste disposal. However, due to the restriction of social, environmental and economic conditions, landfill site selection has become a very challenging task. In addition, landfill site selection is full of uncertainty and complexity due to the lack of cognitive ability of decision-makers and the existence of uncertain information in the decision-making process.MethodsA novel multi-attribute decision making method based on q-rung orthopair probabilistic hesitant fuzzy power weight Muirhead mean (q-ROPHFPWMM) operator is proposed in this paper, which can solve the problem of landfill site selection well. This method uses probability to represent the hesitance of decision maker and retains decision information more comprehensively. The negative effect of abnormal data on the decision result is eliminated by using the power average operator. Muirhead mean operator is used to describe the correlation between attributes. ResultsAn example of landfill site selection is given to verify the effectiveness of the proposed method, and the advantages of the proposed method are illustrated by parameter analysis and comparative analysis. ConclusionThe q-ROPHFPWMM operator can describe the correlation between any evaluation factors and effectively reduce the impact of unreasonable evaluation information given by decision makers on the results. In addition, this method has a wider space for information expression, gives the decision maker a great degree of freedom in decision-making.

scholarly journals DECISION MAKING ON REGIONAL LANDFILL SITE SELECTION IN HORMOZGAN PROVINCE USING SMCE

2015 ◽  
Vol XL-1-W5 ◽  
pp. 433-440
Author(s):  
A. S. Majedi ◽  
B. M. Kamali ◽  
R. Maghsoudi
Keyword(s):  
Decision Making ◽  
Site Selection ◽  
Landfill Site ◽  
Analysis Model ◽  
Landfill Site Selection ◽  
Qualitative And Quantitative ◽  
The Third ◽  
Delphi Approach ◽  
Critical Issues ◽  
Bandar Abbas

Landfill site selection and suitable conditions to bury hazardous wastes are among the most critical issues in modern societies. Taking several factors and limitations into account along with true decision making requires application of different decision techniques. To this end, current paper aims to make decisions about regional landfill site selection in Hormozgan province and utilizes SMCE technique combined with qualitative and quantitative criteria to select the final alternatives. To this respect, we first will describe the existing environmental situation in our study area and set the goals of our study in the framework of SMCE and will analyze the effective factors in regional landfill site selection. Then, methodological procedure of research was conducted using Delphi approach and questionnaires (in order to determine research validity, Chronbach Alpha (0.94) method was used). Spatial multi-criteria analysis model was designed in the form of criteria tree in SMCE using IL WIS software. Prioritization of respective spatial alternatives included: Bandar Abbas city with total 4 spatial alternatives (one zone with 1<sup>st</sup> priority, one zone with 3<sup>rd</sup> priority and two zones with 4<sup>th</sup>priority) was considered the first priority, Bastak city with total 3 spatial alternatives (one zone with 2<sup>nd</sup> priority, one zone with 3<sup>rd</sup>priorit and one zone with 4<sup>th</sup> priority) was the second priority and Bandar Abbas, Minab, Jask and Haji Abad cities were considered as the third priority.

scholarly journals Landfill Site Selection Using MCDM Methods and GIS in the Sulaimaniyah Governorate, Iraq

2019 ◽  
Vol 11 (17) ◽  
pp. 4530 ◽  
Author(s):  
Karwan Alkaradaghi ◽  
Salahalddin S. Ali ◽  
Nadhir Al-Ansari ◽  
Jan Laue ◽  
Ali Chabuk
Keyword(s):  
Decision Making ◽  
Land Use ◽  
Site Selection ◽  
Urban Areas ◽  
Oil And Gas ◽  
High Capacity ◽  
Landfill Site ◽  
Multi Criteria Decision Making ◽  
Landfill Site Selection ◽  
Environmental Criteria

A shortage of land for waste disposal is one of the serious problems that faces urban areas in developing countries. The Sulaimaniyah Governorate, located in the north of Iraq, is one of the major cities in the Kurdistan Region of the country, covering an area of 2400 km2 with a population of 856,990 in 2016. Currently, there is no landfill site in the study area that meets scientific and environmental criteria, and inappropriate solid waste dumping is causing negative environmental impacts. The process of landfill site selection is considered a complex process and is restricted by numerous factors and regulations. This paper proposes multi-criteria decision-making (MCDM) methods in a model for landfill site decision. The model assumes the input of two groups of factors that need to satisfy the optimal values of weight coefficients. These groups of constants are natural factors and artificial factors, and they included thirteen selected criteria: slope, geology, land use, urban area, villages, rivers, groundwater, slope, elevation, soil, geology, road, oil and gas, land use, archaeology and power lines. The criteria were used in the geographic information system (GIS), which has a high capacity to process and analyze various data. In addition, multi-criteria decision-making (MCDM) methods followed by the weighted linear combination (WLC) method were used to derive criteria weightings using a matrix of pair-wise comparison. Finally, all the multi criteria decision methods were combined to obtain an intersection of the suitability index map for candidate landfill sites. Seven appropriate sites for landfill were suggested, all of which satisfied the scientific and environmental criteria which were adopted in this study.

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