Abstract
The AHP method introduced by Saaty (The analytical hierarchy process. McGraw-Hill, NY) shows the process of determining the priority of a set of alternatives and the relative importance of attributes in a multi-criteria decision-making problem. The primary advantage of the AHP approach is the relative easy with which it handles multiple criteria and performs qualitative and quantitative data. However AHP is frequently criticized for its inability to adequately accommodate the inherent uncertainty and imprecision associated with mapping decision-maker perceptions to extract numbers Hu (Expert Syst Appl 36:7142–147, 2009)
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Saaty TL (1980) The analytical hierarchy process. McGraw-Hill, NY
Hu HA, Hsu CW, Kuo TC, Wu WC (2009) Risk evaluation of green components to hazardous substances using FMEA and FHA. Expert Syst Appl 36:7142–7147
Buckley JJ (1985) Fuzzy hierarchical analysis. Fuzzy Set Syst 17(3):233–247
Boender CGE, de Grann JG, Lootsma FA (1989) Multicriteria decision analysis with fuzzy pairwise comparison. Fuzzy Set Syst 29:133–143
Cheng CH (1996) Evaluating naval tactical missile systems by FAHP based on the grade value of membership function. Eur J of Oper Res 96(2):423–443
Van Laarhoven PJM, Pedrycz W (1983) A fuzzy extension of Saaty’s priority theory. Fuzzy Set Syst 11:229–241
Buyukozkan G, Kahraman C, Ruan D (2004) A fuzzy multicriteria decision approach for software development strategy selection. Int J Gen Syst 33(2–3):259–280
Zeng J, An M, Smith NJ (2007) Application of a fuzzy based decision making methodology to construction project risk assessment. Int J Proj Manage 25:589–600
Chang DY (1992) Extent analysis and synthetic decision optimization techniques and applications (vol. 1). World Scientific
Chang DY (1996) Applications of the extent analysis method on FAHP. Eur J of Oper Res 95(3):649–655
Tran L, Duckstein L (2002) Comparison of fuzzy numbers using a fuzzy distance measure. Fuzzy Set Syst 130:331–341
Chen LS, Cheng CH (2008) Selecting IS personnel using anking fuzzy number by metric distance method. Eur J of Oper Soc 160(3):803–820
Wang JJ, Jing YY, Zhang CF et al (2008) A fuzzy multi-criteria decisionmaking model for trigeneration system. Energ Policy 36(10):3823–3832
Jaber JO, Jaber QM, Sawalha SA, Mohsen MS (2008) Evaluation of conventional and renewable energy sources for space heating in the household sector. Renew Sust Energ Rev 12(1):278–289
Kahraman C, Kaya I, Cebi S (2009) A comparative analysis for multiattribute selection among renewable energy alternatives using fuzzy axiomatic design and fuzzy analytic hierarchy process. Energy 34:1603–1616
Kaya T, Kahraman C (2010) Multicriteria renewable energy planning using an integrated fuzzy VIKOR and AHP methodology: the case of Istanbul. Energy 35(6):2515–2527
Talinli I, Topuz E, Mehmet UA (2010) Comparative analysis for energy production processes (EPPs): sustainable energy futures for Turkey. Energ Policy 38(8):4479–4488
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2012 Springer-Verlag London Limited
About this chapter
Cite this chapter
Mateo, J.R.S.C. (2012). FAHP. In: Multi Criteria Analysis in the Renewable Energy Industry. Green Energy and Technology. Springer, London. https://doi.org/10.1007/978-1-4471-2346-0_12
Download citation
DOI: https://doi.org/10.1007/978-1-4471-2346-0_12
Published:
Publisher Name: Springer, London
Print ISBN: 978-1-4471-2345-3
Online ISBN: 978-1-4471-2346-0
eBook Packages: EngineeringEngineering (R0)