Fuzzy Analytical Hierarchy Process Disposal Method Selection for an Industrial State; Case Study Charmshahr

Vahidi, Hossein; Ghazban, Fereydon; Abdoli, Mohammad Ali; Kazemi, Vahed Dehghani; Banaei, Seyed Mohammad Amin

doi:10.1007/s13369-013-0691-1

Cited by 15 publications

(13 citation statements)

References 35 publications

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“…For [49], it can only compare a limited number of decision alternatives, which is usually not greater than 15. To deal with the uncertainty and ambiguity, AHP could be combined with fuzzy logic [24,[71][72][73][74][75][76]. The use of Delphi method combined with an appropriate selection and a relevant number of decision criteria for pairwise comparisons can also address this drawback [77].…”

Section: Energy Efficiency In Automotive Engineeringmentioning

confidence: 99%

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A review on multi-criteria decision-making for energy efficiency in automotive engineering

Castro¹,

Parreiras

2020

ACI

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Governments around the world instituted guidelines for calculating energy efficiency of vehicles not only by models, but by the whole universe of new vehicles registered. This paper compiles Multi-criteria decision-making (MCDM) studies related to automotive industry. We applied a Systematic Literature Review on MCDM studies published until 2015 to identify patterns on MCDM applications to design vehicles more fuel efficient in order to achieve full compliance with energy efficiency guidelines (e.g., Inovar-Auto). From 339 papers, 45 papers have been identified as describing some MCDM technique and correlation to automotive industry. We classified the most common MCDM technique and application in the automotive industry. Integrated approaches were more usual than individual ones. Application of fuzzy methods to tackle uncertainties in the data was also observed. Despite the maturity in the use of MCDM in several areas of knowledge, and intensive use in the automotive industry, none of them are directly linked to car design for energy efficiency. Analytic Hierarchy Process was identified as the common technique applied in the automotive industry.

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Section: Energy Efficiency In Automotive Engineeringmentioning

confidence: 99%

“…TFN with six cases are used frequently [71,5,24,130,90,75]. This integrated approach also helps to eliminate the disadvantages of AHP [24].…”

Section: Energy Efficiency In Automotive Engineeringmentioning

confidence: 99%

A review on multi-criteria decision-making for energy efficiency in automotive engineering

Castro¹,

Parreiras

2020

ACI

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“…Other sources accepted only 10-15 respondents for questionnaire-based research [36][37][38][39]. Thus, the sample size used in this study (45) was even higher than those of previous studies [40].…”

Section: Surveymentioning

confidence: 99%

Urban Development and Sustainable Utilization: Challenges and Solutions

Alqahtani¹,

Qasaby²,

Abotaleb³

2021

Sustainability

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Many countries are contemplating a smart sustainable approach to the next generation of cities. However, there are many obstacles to achieve this objective, such as planning and implementing sustainable dimensions. The aim of this study is to (1) investigate the level of importance of the different sustainable dimensions in Riyadh and (2) distinguish the effect of two proposed solutions on dimensions for a smart approach to rank the proposed solutions based on their level of impact in Riyadh. In this study, the sustainability dimensions are six main measurable criteria that include Smart Economy, Smart Mobility, Smart Environment, Smart People, Smart Governance, and Smart Living. The research also utilized a multi-step methodology that involved an expert-based survey and fuzzy analytic hierarchy process (F-AHP) to assess the performance indices of components for a smart method in Riyadh and evaluate the proposed solutions, namely, the construction of a metro network to link all of Riyadh to align with the government objective for 2030, and encouraging the construction of smart buildings through Leadership in Energy and Environmental Design (LEED) certification. The results show that Smart People, Smart Mobility, and Smart Living were the three most important sustainable indices for Riyadh. Furthermore, the results of the proposed construction projects illustrate that both projects had the same impact on five of the six sustainable indices, but that the metro project had a significantly higher impact on one of the indices. The study is also envisaged to aid decision-makers in prioritizing the upcoming public construction projects. Finally, this is the first study of its kind to address ranking real public construction projects in terms of sustainable development.

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“…Banias et al (2010) and Coronado et al (2011), in turn, demonstrate the applicability of MCDM methods in the evaluation of sites for the location of CDW management facilities considering economic, social, and environmental impacts. Analogously, Capón-García et al (2014), Vahidi et al (2014), andZhang et al (2010) showed that the use of MCDM methods in ISW treatment strategies selection could facilitate the decision-making process. So, based on the usefulness of MCDM in a CDW and ISW context, and considering that these waste streams represents an important part of all waste generated worldwide, the development of new MCDM studies dedicated to this topic are encouraged.…”

Section: Waste Streamsmentioning

confidence: 99%

Multi-criteria decision making to support waste management: A critical review of current practices and methods

2016

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Solid waste management is a complex domain involving the interaction of several dimensions; thus, its analysis and control impose continuous challenges for decision makers. In this context, multi-criteria decision-making models have become important and convenient supporting tools for solid waste management because they can handle problems involving multiple dimensions and conflicting criteria. However, the selection of the multi-criteria decision-making method is a hard task since there are several multi-criteria decision-making approaches, each one with a large number of variants whose applicability depends on information availability and the aim of the study. Therefore, to support researchers and decision makers, the objectives of this article are to present a literature review of multi-criteria decision-making applications used in solid waste management, offer a critical assessment of the current practices, and provide suggestions for future works. A brief review of fundamental concepts on this topic is first provided, followed by the analysis of 260 articles related to the application of multi-criteria decision making in solid waste management. These studies were investigated in terms of the methodology, including specific steps such as normalisation, weighting, and sensitivity analysis. In addition, information related to waste type, the study objective, and aspects considered was recorded. From the articles analysed it is noted that studies using multi-criteria decision making in solid waste management are predominantly addressed to problems related to municipal solid waste involving facility location or management strategy.

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Fuzzy Analytical Hierarchy Process Disposal Method Selection for an Industrial State; Case Study Charmshahr

Cited by 15 publications

References 35 publications

A review on multi-criteria decision-making for energy efficiency in automotive engineering

A review on multi-criteria decision-making for energy efficiency in automotive engineering

Urban Development and Sustainable Utilization: Challenges and Solutions

Multi-criteria decision making to support waste management: A critical review of current practices and methods

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