A hybrid multi-criteria decision-making approach for analysing operational hazards in Heavy Fuel Oil-based power plants

Assessing the challenges to medical waste management during the COVID-19 pandemic: Implications for the environmental sustainability in the emerging economies

“…In 1974, Warfield invented it to explore complicated socioeconomic relationships [ 65 ]. This technique is ‘interpretive,’ in that expert will interpret parts of a complex system and their interconnection through conversation [ 41 , 66 ]. Utilizing graph theory and matrix algebra, ISM represents the visual model.…”

“… Electric vehicle industry Vehicle performance and reliability were identified to be the most significant driver Principal Component Analysis (PCA), ISM-MICMAC [ 37 ] Simulating and evaluating Green Lean Six Sigma success elements for the Indian healthcare facilities. Healthcare industry Management's commitment and financial availability were the most critical success factors ISM-MICMAC [ 38 ] Figuring out what makes an island nation a competitive sports tourist location Tourism industry Government support and Destination political stability were found to be the major factors Fuzzy Delphi, ISM-MICMAC [ 39 ] Modeling the drivers of solar energy development in an emerging Economy The solar and renewable energy sector The favorable geographical location in terms of solar Irradiation was identified to be the most important driver BWM, ISM-MICMAC [ 40 ] Evaluating the factors for sustainable supplier selection in the steel industry Steel industry Reputation and the supplier position was found to be the most crucial factor BWM, TOPSIS, ISM-MICMAC [ 41 ] Analyzing operational Hazards in heavy fuel oil-based power plants Heavy Fuel Oil-based power plants Standard Operating Procedure (SOP) and Training were identified as the two most critical hazards FAHP, FTOPSIS, ISM-MICMAC [ 42 ] Analyzing barriers to the sustainable supply chain in the apparel & textile sector Apparel and textiles sector Poor supplier performance was determined as the most significant barrier ISM, Fuzzy MICMAC, DEMATEL [ 43 ] Mapping interactions among green innovations barriers in the manufacturing industry Manufacturing industry …”

Investigation of the effect of vibration in the multi-objective optimization of dry turning of hardened steel

“…The fuzzy TOPSIS method is used to evaluate multiple factors or alternatives concerning the given evaluation criteria, using data in numerical and linguistic forms. The steps of fuzzy TOPSIS (Bari et al ., 2022) used in this study are discussed below.Step 1: Equation (1) is used to create a decision matrix that comprises the performance ratings of each alternative for each criterion, with the rows representing the criteria and the columns representing the alternatives.truex∼ij i=1,2,….,m; j=1,2,….,n; presents the performance rating of the ith alternative Ai concerning jth criterion, CjWhere truew∼j represents the weight of the j th criterion, CjStep 2: The fuzzy weights for each criterion are determined through the geometric mean approach. Fuzzy weights are determined utilizing fuzzy addition and fuzzy multiplication shown in Equations (5)–(6)aij∼= Comparative fuzzy value of criterion i to criterion …”

“…To determine the optimum cutting parameter settings in the MOO of the dry hard-turning process of steels, the fuzzy TOPSIS method has been utilized since it enables us to convert multiple responses to a single response that is further considered in the finding of the optimal solution. Moreover, this method allows the incorporation of the decision-makers or experts' opinions, while deciding the individual weights of the selected performance characteristics during simultaneous optimization (Bari et al, 2022;Pawanr et al, 2021).…”

“…The fuzzy TOPSIS method is used to evaluate multiple factors or alternatives concerning the given evaluation criteria, using data in numerical and linguistic forms. The steps of fuzzy TOPSIS (Bari et al, 2022) used in this study are discussed below.…”