Application Integrated Fuzzy TOPSIS based on LCA Results and the Nearest Weighted Approximation of FNs for Industrial Waste Management-Aluminum Industry: Arak-Iran

Zare, Ramin; Nouri, J.; Abdoli, Mohammad Ali; Atabi, Farideh

doi:10.17485/ijst/2016/v9i2/56967

Cited by 5 publications

(1 citation statement)

References 26 publications

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“…In other words, firstly, criteria were identified, and the best suppliers were selected based on these factors [62], [79]- [84]. In addition to this issue, fuzzy TOPSIS approach was also used to analyze different industries, such as mining [85], [86], automotive [62], aluminum [87], banking [88], textile [89], energy [90] and manufacturing [91].…”

Section: B Multi-criteria Decision Makingmentioning

confidence: 99%

Hesitant Linguistic Term Sets-Based Hybrid Analysis for Renewable Energy Investments

Wang¹,

Liu²,

Yüksel³

et al. 2019

IEEE Access

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The aim of this study is to evaluate different renewable energy investments alternatives. Within this framework, six different criteria are chosen to represent financial and non-financial dimensions. Additionally, five renewable energy investment alternatives (biomass, hydropower, geothermal, wind and solar) are selected. Fuzzy AHP and fuzzy DEMATEL methods are considered to weight these criteria whereas alternatives are ranked by using fuzzy TOPSIS and fuzzy VIKOR approaches. The findings show that fuzzy AHP and fuzzy DEMATEL methods also give coherent results. It is concluded that environmental effects and earnings are the most significant criteria. Moreover, wind and solar are the most attractive renewable energy investment alternatives. Therefore, it is recommended that governmental incentives should be widely used for effective location selection of both energy alternatives. This situation could be also attractive for foreign investors in renewable energy market. In addition, large-scale investments should be handled by merger and acquisition to increase overall performance. Hence, it can be possible to raise earnings, improve capital adequacy and enhance organizational capacity with the extensive investments. Furthermore, easy access to the sources and good contract conditions should also be provided for this purpose so that it can be much easier to attract the attention of these investors. Also, customer expectations should be understood effectively with a detailed analysis. With the help of this issue, appropriate products can be presented according to customer needs and it significantly contributes to the success in renewable energy investment.

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Section: B Multi-criteria Decision Makingmentioning

confidence: 99%

Hesitant Linguistic Term Sets-Based Hybrid Analysis for Renewable Energy Investments

Wang¹,

Liu²,

Yüksel³

et al. 2019

IEEE Access

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A critical analysis of the integration of life cycle methods and quantitative methods for sustainability assessment

Cerchione,

Morelli,

Passaro

et al. 2024

Corp Soc Responsibility Env

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The utilization of Life Cycle Assessment (LCA) and its corresponding methodologies gained considerable attention within the realm of corporate social responsibility (CSR) and sustainability assessment. Nevertheless, a lack of extensive investigation on their integration along with quantitative procedures, for example, statistical techniques and artificial intelligence (AI), has emerged. The purpose of this literature review is to investigate the extent to which these methodologies have been connected so far in order to achieve objectives concerning the assessment of sustainability. The scope of the study was restricted to articles published in peer‐reviewed journals throughout the period from 1960 to 2022. The investigation was conducted by using a broad set of keywords, encompassing both life cycle methods, including Life Cycle Assessment, Environmental Life Cycle Costing and Emergy Accounting, and quantitative methods, such as mathematical methods, economic methods and building information modeling methods. A total of 144 articles addressing the combined use of life cycle methods and quantitative methodologies for the evaluation of sustainability were identified in the literature review. The greater part of these studies relied on the combined use of LCA with mathematical models, statistical methods and AI methods. As a result, the studies proven that the joint application of such methods can improve consistency of sustainability assessment and enhance CSR. Additionally, many articles suggested novel approaches, including a combined use of LCA and building information modeling as well as simulation methods. The combined use of life cycle methods alongside quantitative methods offers promise in enhancing sustainability assessment by offering more precise and consistent outcomes. However, it becomes imperative to carefully evaluate the hypotheses, accuracy of data, and uncertainty associated with each method within the integration process. Additional research needs to be conducted in order to establish standardized protocols for combining these methodologies as well as to identify the most suitable procedures for their integration with respect to specific objectives concerning sustainability assessment.

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Life Cycle Assessment and Multi-criteria Analysis in Agriculture: Synergies and Insights

Tziolas

Bournaris

Manos

et al. 2018

Multiple Criteria Decision Making

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Application Integrated Fuzzy TOPSIS based on LCA Results and the Nearest Weighted Approximation of FNs for Industrial Waste Management-Aluminum Industry: Arak-Iran

Cited by 5 publications

References 26 publications

Hesitant Linguistic Term Sets-Based Hybrid Analysis for Renewable Energy Investments

Hesitant Linguistic Term Sets-Based Hybrid Analysis for Renewable Energy Investments

A critical analysis of the integration of life cycle methods and quantitative methods for sustainability assessment

Life Cycle Assessment and Multi-criteria Analysis in Agriculture: Synergies and Insights

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