Credibilistic TOPSIS Model for Evaluation and Selection of Municipal Solid Waste Disposal Methods

Roy, Jagannath; Adhikary, Krishnendu; Kar, Samarjit

doi:10.1007/978-981-13-0215-2_17

Cited by 10 publications

(6 citation statements)

References 22 publications

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“…TOPSIS methods, such as MCDM, have been applied to get the ideal solutions for each alternative [32]. TOPSIS methods and MCDM have been applied in several studies [33][34][35][36][37][38][39]. which are used for ranking research selection.…”

Section: Literature Reviewmentioning

confidence: 99%

Parking Site Selection for Light Rail Stations in Muaeng District, Khon Kaen, Thailand

Prasertsri

Sangpradid

2020

Symmetry

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Khon Kaen District is in the central, north-east part of Thailand and is being developed to handle the country’s growth. Khon Kaen District is undertaking the project of building a light rail as a facility for the people. Consequently, one of the problems is ensuring adequate parking for people using the light rail service. In general, the symmetry concept naturally used in decision making to finding an optimal solution for decision and optimization problems. In this paper, multi-criteria decision analysis (MCDA) and multi-objective decision making (MODM) were used to solve the parking site selection problem, which made the decision easier. This paper proposed an analytic hierarchy process (AHP) technique, combined with the geographical information system (GIS), to evaluate the weight of the criteria used in the analysis and find potential parking solutions. Furthermore, this paper proposed the application of a linguistic technique with fuzzy TOPSIS methods to analyze the appropriateness of parking site selections from potential candidates to support use of the light rail. The results of the MCDA show that the most suitable parking lot location is along the light rail and closest to the business area. The results of the fuzzy TOPSIS method, both positive and negative ideal decisions, can help inform decision makers in selecting which candidate site is optimal for parking.

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Section: Literature Reviewmentioning

confidence: 99%

Parking Site Selection for Light Rail Stations in Muaeng District, Khon Kaen, Thailand

Prasertsri

Sangpradid

2020

Symmetry

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“…The other rough internal values of criteria functions can be obtained similarly and a rough comparison matrix (Table 4) is formed. Finally, Compute of the criteria weights in rough number by using equations (20)- (21). Finally we normalize those weights according to the equations (22) to get normalized rough number valued weights ( Table 5).…”

Section: Implementation Of Modified Rough Ahpmentioning

confidence: 99%

“…In general, the professionals' judgments own subjective uncertainty in addition to impreciseness because of verbal evaluation which results in non-probabilistic traits (Martínez et al, 2007). The fuzzy set theory has been studied in various dimensions to handle actual life inaccurate hitches (Roy et al, 2016a(Roy et al, , 2016bChen, 2000). Fuzzy methodology tackles the inaccuracy very efficiently, but it requires very previous data or strong association element to result in an effective decision at a particular interval of described time (Qazi et al, 2016;Wang et al, 2016;Roy et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Multi Criteria Evaluation Framework for Prioritizing Indian Railway Stations Using Modified Rough AHP-Mabac Method

Sharma

Roy

Kar

et al. 2018

Transport and Telecommunication Journal

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This study proposes a hybrid multiple criteria decision making (MCDM) methodology for evaluating the performance of the Indian railway stations (IRS). Since the customers are heterogeneous and their requirements are often imprecise, the evaluation process is a critical step for prioritizing the IRS. To improve the existing approaches, an efficient evaluation technique has been proposed by integrating rough numbers, analytic hierarchy process (AHP) and multi-attribute border approximation area comparison (MABAC) methods in rough environment. The relative criteria weights based on their preferences given by experts is determined by rough AHP whereas evaluation of the alternatives based on these criteria are done by the modified rough MABAC method. A case study of prioritizing different railway stations in India is provided to demonstrate the efficiency and applicability of the proposed method. Among different criteria "proactively" is observed to be the most important criteria in our analysis, followed by 'Railfanning' and 'DMO' is found to be the best among the forty IRS in this study. Finally, a comparative analysis and validity testing of the proposed method are elaborated and the methodology provides a standard to select IRS on the basis of different criteria.

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“…Several studies use MCDM techniques to deal with waste management problems. Many of these studies focus on either locating waste treatment plants [ [28] , [29] , [30] , [31] ] or on technological decisions within the broad field of waste treatment [ 14 , [32] , [33] , [34] ]. However, most only describe one scenario without considering the impact of future situations and the probabilities of occurrence.…”

Section: Introductionmentioning

confidence: 99%

Sustainable selection of waste collection trucks considering feasible future scenarios by applying the stratified best and worst method

Solaz¹,

Artacho-Ramírez²,

Aragonés‐Beltrán³

et al. 2023

Heliyon

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Credibilistic TOPSIS Model for Evaluation and Selection of Municipal Solid Waste Disposal Methods

Cited by 10 publications

References 22 publications

Parking Site Selection for Light Rail Stations in Muaeng District, Khon Kaen, Thailand

Parking Site Selection for Light Rail Stations in Muaeng District, Khon Kaen, Thailand

Multi Criteria Evaluation Framework for Prioritizing Indian Railway Stations Using Modified Rough AHP-Mabac Method

Sustainable selection of waste collection trucks considering feasible future scenarios by applying the stratified best and worst method

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