Abstract
One of the best ways to analyze the private hydropower plant investments is to investigate them based on their installed capacities. This paper describes a proposed only one node fuzzy rule base evaluation approach (experiment and test aim) to model the selection classification of the private mini hydropower plant investments in Turkey in the very early investment stages. In these kinds of early investment stages, the data and information is generally scarcely available in a very clear, detailed, sharp and specific conditions and statuses (hence fuzzy). The total estimated electricity generation (annual), the total estimated cost (total), the change in the average surface temperature (period) are taken into account in the current experimental Mamdani’s fuzzy inference based model. In this study, the mini hydropower plant investments’ data were mainly gathered from the official web pages of the Republic Of Turkey Energy Market Regulatory Authority and the General Directorate of State Hydraulic Works.
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Turkish Electricity Transmission Corporation: Research, Planning and Coordination Department: The Turkish Electrical Energy 5 Year Generation Capacity Projection 2013–2017 Report. Ankara, Turkey (2013)
Wikipedia: Wikimedia Foundation Inc. http://en.wikipedia.org/wiki/Kilowatt_hour
Mini Hydro Power Basics: w3.tm.tue.nl/fileadmin/tm/TDO/Indonesie/Hydro_Power.pdf
ACM Digital Library. http://dl.acm.org
ASCE Online Research Library. http://ascelibrary.org
American Society of Mechanical Engineers http://asmedigitalcollection.asme.org
Cambridge Journals Online. http://journals.cambridge.org
Directory of Open Access Journals. http://doaj.org
Emerald Insight. http://www.emeraldinsight.com
Google Scholar. http://scholar.google.com.tr
J. Ind. Eng. Manage. http://www.jiem.org/index.php/jiem
Science Direct. http://www.sciencedirect.com
Taylor & Francis Online/Journals. http://www.tandfonline.com
Wiley-Blackwell/Wiley Online Library. http://onlinelibrary.wiley.com
World Scientific Publishing. http://www.worldscientific.com
Kumar, S., Narula, P., Ahmed, T.: Knowledge extraction from numerical data for the Mamdani type fuzzy systems: a BBO approach. In: Innovative Practices in Management and Information Technology for Excellence, Jagadhri, India (2010). http://embeddedlabcsuohio.edu/BBO/BBO_Papers/Knowledge%20Extraction.pdf
Noor, N.M.M., Retnowardhani, A.: An integrated framework of decision support system in crime prevention. In: DSS 2.0 – Supporting Decision Making with New Technologies, 17th Conference for IFIP WG8.3 DSS, 2–5 June 2014, Paris, France (2014). http://dss20conference.files.wordpress.com/2014/05/noor.pdf
Keshwani, D.R., Jones, D.D., Meyer, G.E., Brand, R.M.: Rule-based Mamdani-type fuzzy modeling of skin permeability. In: Biological Systems Engineering: Papers and Publications. Paper 80 (2008). http://digitalcommons.unl.edu/biosysengfacpub/80
Cordón, O.: A historical review of evolutionary learning methods for Mamdani-type fuzzy rule-based systems: designing interpretable genetic fuzzy systems. Int. J. Approximate Reasoning 52, 894–913 (2011)
Garg, S., Sharma, B.R., Cohen, K., Kumar, M.: A fuzzy logic based image processing method for automated fire and smoke detection. In: 51st AIAA (American Institute of Aeronautics and Astronautics) Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition, 07–10 January 2013, Grapevine (Dallas/FL Worth Region), Texas (2013). http://arc.aiaa.org/doi/pdf/10.2514/6.2013-879
Eliasson, J., Ludvigsson, G.: Load factor of hydropower plants and its importance in planning and design. In: The 11th International Seminar on Hydro Power Plants, Hydros Future in changing Markets, 15–17 November 2000, Vienna, University of Technology, Austria (2000)
ESHA (European Small Hydropower Association): Guide on How to Develop a Small Hydropower Plant. Belgium (2004)
ESHA, Brochure on Environmental Integration of Small Hydropower Plants. Belgium (2005)
The Intergovernmental Panel on Climate Change (IPCC) Organization. http://ipcc.ch/organization/organization.shtml
Wikipedia. Wikimedia Foundation Inc. http://en.wikipedia.org/wiki/Celsius
IPCC Fourth Assessment Report: Climate Change 2007, Climate Change 2007: Working Group I: The Physical Science Basis. http://ipcc.ch/publications_and_data/ar4/wg1/en/figure-10-8.html
Lermontov, A., Yokoyama, L., Lermontov, M., Machado, M.A.S.: A fuzzy water quality index for watershed quality analysis and management, environmental management in practice. In: Broniewicz, E. (ed.) ISBN: 978-953-307-358-3. InTech (2011). https://doi.org/10.5772/20316. http://www.intechopen.com/books/environmental-management-in-practice/a-fuzzy-water-quality-index-for-watershed-quality-analysis-and-management
sciFLT: Fuzzy Logic Toolbox for Scilab. https://atoms.scilab.org/toolboxes/sciFLT
Miller, G.A.: The magical number seven, plus or minus two: some limits on our capacity for processing information. Psychol. Rev. 63, 81–97 (1956)
Shiffrin, R.M., Nosofsky, R.M.: Seven plus or minus two: a commentary on capacity limitations. Psychol. Rev. 101(2), 357–361 (1994)
Likert, R.: A technique for the measurement of attitudes. Arch. Psychol. No. 140, New York, USA (1932)
Zadeh, L.A.: A fuzzy-set-theoretic interpretation of linguistic hedges. J. Cybern. 2(3), 4–34 (1972)
Mamdani, E.H.: Application of fuzzy algorithms for control of simple dynamic plant. Proc. Inst. Electr. Eng. 121(12), 1585–1588 (1974)
Zadeh, L.A.: Fuzzy sets. Inf. Control 8, 338–353 (1965)
General Directorate of State Hydraulic Works. http://www.dsi.gov.tr
Republic of Turkey Energy Market Regulatory Authority. http://www.emra.gov.tr/, http://www.epdk.gov.tr
Turkish Electricity Transmission Corporation. http://www.teias.gov.tr
Acknowledgments
The author would like to thank to Dr. Bernadetta Kwintiana Ane (conference) and Dr. Chin Luh Tan (sciFLT and Scilab 5.5.0 bug). This study would never be finalized and submitted to the conference without their consideration, guidance, and help. Please send your comments, feedbacks and criticisms to my e-mail (burakomersaracoglu@hotmail.com) in any format at any time. Your feedback will be very important and valuable for me during the development process of the models and systems for the real life applications.
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Saracoglu, B.O. (2019). An Experimental Case Study on Fuzzy Logic Modeling for Selection Classification of Private Mini Hydropower Plant Investments in the Very Early Investment Stages in Turkey. In: Ane, B., Cakravastia, A., Diawati, L. (eds) Proceedings of the 18th Online World Conference on Soft Computing in Industrial Applications (WSC18). WSC 2014. Advances in Intelligent Systems and Computing, vol 864. Springer, Cham. https://doi.org/10.1007/978-3-030-00612-9_7
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DOI: https://doi.org/10.1007/978-3-030-00612-9_7
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