An Analysis on Barriers to Biomass and Bioenergy Development in Rural China Using Intuitionistic Fuzzy Cognitive Map
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Long Zhang | Linmao Ma | Jing Yu | Long Zhang | Jing Yu | Linmao Ma
[1] Taraneh Sowlati,et al. Development of a decision support tool for optimizing the short-term logistics of forest-based biomass , 2018 .
[2] Voula C. Georgopoulos,et al. Complementary case-based reasoning and competitive fuzzy cognitive maps for advanced medical decisions , 2007, Soft Comput..
[3] Abdollah Amirkhani,et al. A novel hybrid method based on fuzzy cognitive maps and fuzzy clustering algorithms for grading celiac disease , 2016, Neural Computing and Applications.
[4] M. Daramola,et al. Techno-economic analysis of electricity and heat production by co-gasification of coal, biomass and waste tyre in South Africa , 2018, Journal of Cleaner Production.
[5] S. Gheewala,et al. Urban commercial biogas power plant model for Zambian towns , 2017 .
[6] Vladik Kreinovich,et al. Handbook of Granular Computing , 2008 .
[7] Voula C. Georgopoulos,et al. Fuzzy Cognitive Maps Structure for Medical Decision Support Systems , 2008 .
[8] Puan Yatim,et al. Overview of the key risks in the pioneering stage of the Malaysian biomass industry , 2017, Clean Technologies and Environmental Policy.
[9] Robert LIN,et al. NOTE ON FUZZY SETS , 2014 .
[10] A. J. Miller. Structure of Decision: The Cognitive Maps of Political Elites Robert Axelrod, ed. Princeton: Princeton University Press, 1976, pp. xvi, 404 Perception and Misperception in International Politics Robert Jervis Princeton: Princeton University Press, 1976, pp. xi, 445 , 1979 .
[11] Ali Azadeh,et al. Assessment of resilience engineering factors in high-risk environments by fuzzy cognitive maps: A petrochemical plant , 2014 .
[12] Jan Hildebrand,et al. Acceptance of biomass plants - results of a longitudinal study in the bioenergy-region Altmark. , 2015 .
[13] F. X. Johnson,et al. Biofuels in sub-Sahara Africa: drivers, impacts and priority policy areas , 2015 .
[14] Yeonbae Kim,et al. An analysis on barriers to renewable energy development in the context of Nepal using AHP , 2018, Renewable Energy.
[15] Erik O. Ahlgren,et al. Barriers to biogas dissemination in India: A review , 2018 .
[16] Jan DeWaters,et al. Designing an Energy Literacy Questionnaire for Middle and High School Youth , 2013 .
[17] Michael Glykas. Fuzzy Cognitive Maps: Advances in Theory, Methodologies, Tools and Applications , 2010 .
[18] Konstantinos D. Patlitzianas,et al. A fuzzy cognitive maps decision support system for renewables local planning , 2014 .
[19] Abdollah Amirkhani,et al. A novel medical decision support system based on fuzzy cognitive maps enhanced by intuitive and learning capabilities for modeling uncertainty , 2018, Appl. Math. Comput..
[20] Bart Kosko,et al. Fuzzy Cognitive Maps , 1986, Int. J. Man Mach. Stud..
[21] Christian Finnsgård,et al. Analyzing animal waste-to-energy supply chains: The case of horse manure , 2017, Renewable Energy.
[22] Frank Rosillo-Calle. Bioenergy (other than Wood) , 2004 .
[23] S. A. Mehetre,et al. Improved biomass cookstoves for sustainable development: a review. , 2017 .
[24] Göran Berndes,et al. Bioenergy and water - the implications of large-scale bioenergy production for water use and supply. , 2002 .
[25] Aguilar Jose,et al. Dynamic Fuzzy Cognitive Maps for the Supervision of Multiagent Systems , 2010 .
[26] Dheeraj Kumar Khatod,et al. Development of cooking sector in rural areas in India—A review , 2013 .
[27] Stefano Moret,et al. Optimal use of biomass in large-scale energy systems: Insights for energy policy , 2017 .
[28] Nathaniel Anderson,et al. Technoeconomic and policy drivers of project performance for bioenergy alternatives using biomass from beetle-killed trees , 2018 .
[29] H. Dulal,et al. Renewable energy diffusion in Asia: Can it happen without government support? , 2013 .
[30] Dixit Garg,et al. Barriers to renewable/sustainable energy technologies adoption: Indian perspective , 2015 .
[31] Ashira Roopnarain,et al. Current status, hurdles and future prospects of biogas digestion technology in Africa , 2017 .
[32] Geoffrey P. Hammond,et al. Barriers to and drivers for UK bioenergy development , 2011 .
[33] Volker Wulf,et al. Cultivating energy literacy: results from a longitudinal living lab study of a home energy management system , 2013, CHI.
[34] Peter P. Groumpos,et al. Fuzzy Cognitive Maps: Basic Theories and Their Application to Complex Systems , 2010 .
[35] Marc A. Rosen,et al. Global challenges in the sustainable development of biomass gasification: An overview , 2017 .
[36] Jan DeWaters,et al. Establishing Measurement Criteria for an Energy Literacy Questionnaire , 2013 .
[37] D. Njomo,et al. Biomass resources assessment and bioenergy generation for a clean and sustainable development in Cameroon , 2018, Biomass and Bioenergy.
[38] Jan DeWaters,et al. Developing An Energy Literacy Scale , 2007 .
[39] Frances Drake,et al. Beyond the tradition: Using Fuzzy Cognitive Maps to elicit expert views on coastal susceptibility to erosion in Bangladesh , 2018, CATENA.
[40] Jingkun Jiang,et al. Significant reduction in air pollutant emissions from household cooking stoves by replacing raw solid fuels with their carbonized products. , 2019, The Science of the total environment.
[41] Marc A. Rosen,et al. Recent advances in the development of biomass gasification technology: A comprehensive review , 2017 .
[42] K. Richards,et al. Socio-economic drivers in implementing bioenergy projects , 2005 .
[43] Emmanuel Ackom,et al. Modern bioenergy from agricultural and forestry residues in Cameroon: potential, challenges and the way forward. , 2013 .
[44] Elpiniki I. Papageorgiou,et al. Fuzzy cognitive map based approach for predicting yield in cotton crop production as a basis for decision support system in precision agriculture application , 2011, Appl. Soft Comput..
[45] Krassimir T. Atanassov,et al. Intuitionistic fuzzy sets , 1986 .
[46] Adil Baykasoglu,et al. Development of a novel multiple-attribute decision making model via fuzzy cognitive maps and hierarchical fuzzy TOPSIS , 2015, Inf. Sci..
[47] J. Rintala,et al. Landowners’ willingness to promote bioenergy production on wasteland − future impact on land use of cutaway peatlands , 2017 .
[48] A. Aslan. The causal relationship between biomass energy use and economic growth in the United States , 2016 .
[49] Chrysostomos D. Stylios,et al. Hybrid model based on Decision Trees and Fuzzy Cognitive Maps for Medical Decision Support System , 2007 .
[50] Mark Rounsevell,et al. Analysis of Farmers’ Concepts of Environmental Management Measures: An Application of Cognitive Maps and Cluster Analysis in Pursuit of Modelling Agents’ Behaviour , 2010 .
[51] Wei Lu,et al. THE DATA-DRIVEN FUZZY COGNITIVE MAP MODEL AND ITS APPLICATION TO PREDICTION OF TIME SERIES , 2018 .
[52] B. Singh,et al. South Asia energy security: Challenges and opportunities , 2013 .
[53] Ruzairi Abdul Rahim,et al. Renewable energy potentials in Cameroon: Prospects and challenges , 2015 .
[54] D. Horst,et al. National renewable energy policy and local opposition in the UK: the failed development of a biomass electricity plant , 2004 .
[55] Sara González-García,et al. Exploring the production of bio-energy from wood biomass. Italian case study. , 2019, The Science of the total environment.
[56] Jose L. Salmeron,et al. Benchmarking main activation functions in fuzzy cognitive maps , 2009, Expert Syst. Appl..
[57] D. Hall,et al. Biomass energy, forests and global warming. , 1992 .
[58] Yong Deng,et al. A hybrid intelligent model for assessment of critical success factors in high-risk emergency system , 2018, Journal of Ambient Intelligence and Humanized Computing.
[59] R. Saidur,et al. An overview of agricultural biomass for decentralized rural energy in Ghana , 2013 .
[60] S. Gheewala,et al. Bioenergy resource assessment for Zambia , 2016 .
[61] J. Blau. The Paris Agreement , 2017 .
[62] Bo Chen,et al. Barriers to Commercialization Development of Crop Straw Gasification Technology in China and Promoting Policy Design , 2013 .
[63] Voula C. Georgopoulos,et al. Competitive Fuzzy Cognitive Maps Combined with Case Based Reasoning for Medical Decision Support , 2007 .