Waste-to-energy, municipal solid waste treatment, and best available technology: Comprehensive evaluation by an interval-valued fuzzy multi-criteria decision making method

Abstract The treatment of municipal solid waste (MSW) has become an urgently important task of many countries. This objective of this study is to present a novel group multi-attribute decision analysis method for prioritizing the MSW treatment alternatives based on the interval-valued fuzzy set theory. This study allows multiple stakeholders to participate in the process of decision-making and they are also allowed to use linguistic variables to rate the alternatives and determine the weights of the evaluation criteria. The interval-valued fuzzy group decision making trail and evaluation laboratory (DEMATEL) method was developed to determine the weights of the evaluation criteria by considering the independent relationships among these criteria. The multi-actor interval-valued fuzzy grey relational analysis was developed to rank the waste-to-energy scenarios. Four alternative processes for MSW treatment including landfill, anaerobic digestion, incineration, and gasification were studied by the developed model, and the results reveal that the developed model can successfully help the stakeholders to determine the priority sequence of the alternative MSW treatment scenarios.

[1]  Gwo-Hshiung Tzeng,et al.  Fuzzy MCDM approach for planning and design tenders selection in public office buildings , 2004 .

[2]  J. Buckley,et al.  Fuzzy hierarchical analysis , 1999, FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315).

[3]  M Aghajani Mir,et al.  Application of TOPSIS and VIKOR improved versions in a multi criteria decision analysis to develop an optimized municipal solid waste management model. , 2016, Journal of environmental management.

[4]  Gwo-Hshiung Tzeng,et al.  Combined DEMATEL technique with hybrid MCDM methods for creating the aspired intelligent global manufacturing & logistics systems , 2011, Annals of Operations Research.

[5]  Prasanta Kumar Dey,et al.  Evaluation of options for energy recovery from municipal solid waste in India using the hierarchical analytical network process , 2013 .

[6]  Reza Tavakkoli-Moghaddam,et al.  Soft computing based on new interval-valued fuzzy modified multi-criteria decision-making method , 2013, Appl. Soft Comput..

[7]  Jian-Xin You,et al.  Evaluating health-care waste treatment technologies using a hybrid multi-criteria decision making model , 2015 .

[8]  Fatih Tüysüz,et al.  Modified Grey Relational Analysis Integrated with Grey Dematel Approach for the Performance Evaluation of Retail Stores , 2016, Int. J. Inf. Technol. Decis. Mak..

[9]  Ming-Lang Tseng,et al.  Application of ANP and DEMATEL to evaluate the decision-making of municipal solid waste management in Metro Manila , 2009, Environmental monitoring and assessment.

[10]  Ying-Chyi Chou,et al.  Evaluating the criteria for human resource for science and technology (HRST) based on an integrated fuzzy AHP and fuzzy DEMATEL approach , 2012, Appl. Soft Comput..

[11]  Hefa Cheng,et al.  Municipal solid waste (MSW) as a renewable source of energy: current and future practices in China. , 2010, Bioresource technology.

[12]  Rehan Sadiq,et al.  Selecting sustainable waste-to-energy technologies for municipal solid waste treatment: a game theory approach for group decision-making , 2016 .

[13]  Hu-Chen Liu,et al.  Identifying Key Performance Indicators for Holistic Hospital Management with a Modified DEMATEL Approach , 2017, International journal of environmental research and public health.

[14]  Tasneem Abbasi,et al.  Anaerobic digestion for global warming control and energy generation—An overview , 2012 .

[15]  Doraid M. Dalalah,et al.  A fuzzy multi-criteria decision making model for supplier selection , 2011, Expert Syst. Appl..

[16]  Rajeev Singh,et al.  An overview for exploring the possibilities of energy generation from municipal solid waste (MSW) in Indian scenario , 2011 .

[17]  Jian-Bo Yang,et al.  A preference aggregation method through the estimation of utility intervals , 2005, Comput. Oper. Res..

[18]  Gauhar Mahmood,et al.  Municipal solid waste management in Indian cities - A review. , 2008, Waste management.

[19]  Zhao Xin-gang,et al.  Technology, cost, a performance of waste-to-energy incineration industry in China , 2016 .

[20]  Y. Chi,et al.  Simulation of municipal solid waste gasification in two different types of fixed bed reactors , 2013 .

[21]  Hu-Chen Liu,et al.  Health-Care Waste Treatment Technology Selection Using the Interval 2-Tuple Induced TOPSIS Method , 2016, International journal of environmental research and public health.

[22]  Chris Cornelis,et al.  Advances and challenges in interval-valued fuzzy logic , 2006, Fuzzy Sets Syst..

[23]  Abdullahil Azeem,et al.  Selection of an appropriate waste-to-energy conversion technology for Dhaka City, Bangladesh , 2017 .

[24]  I-Shuo Chen,et al.  A network hierarchical feedback system for Taiwanese universities based on the integration of total quality management and innovation , 2012, Appl. Soft Comput..

[25]  Soon Keat Tan,et al.  Municipal solid waste management in China: status, problems and challenges. , 2010, Journal of environmental management.

[26]  S. N. M. Menikpura,et al.  Assessment of environmental and economic performance of Waste-to-Energy facilities in Thai cities , 2016 .

[27]  Ming-Shin Kuo,et al.  A novel interval-valued fuzzy MCDM method for improving airlines’ service quality in Chinese cross-strait airlines , 2011 .

[28]  Hu-Chen Liu,et al.  Identifying critical risk factors of sustainable supply chain management: A rough strength-relation analysis method , 2017 .

[29]  Adil Baykasoglu,et al.  Integrating fuzzy DEMATEL and fuzzy hierarchical TOPSIS methods for truck selection , 2013, Expert Syst. Appl..

[30]  G. Zeng,et al.  Prediction of methane yield at optimum pH for anaerobic digestion of organic fraction of municipal solid waste. , 2008, Bioresource technology.

[31]  M. Gorzałczany.  A method for inference in approximate reasoning based on interval-valued fuzzy sets , 1987 .

[32]  Jian-Bo Yang,et al.  Interval weight generation approaches based on consistency test and interval comparison matrices , 2005, Appl. Math. Comput..

[33]  Ahmad Makui,et al.  Extension of fuzzy TOPSIS method based on interval-valued fuzzy sets , 2009, Appl. Soft Comput..

[34]  Hu-Chen Liu,et al.  An integrated decision making approach for assessing healthcare waste treatment technologies from a multiple stakeholder. , 2017, Waste management.

[35]  H Y Yap,et al.  A multi-criteria analysis of options for energy recovery from municipal solid waste in India and the UK. , 2015, Waste management.

[36]  Shuming Wang,et al.  An optimization model for economic feasibility analysis and design of decentralized waste-to-energy systems , 2016 .