Chang, D.Y. (1996). Applications of the extent analysis method on fuzzy AHP, European Journal of Operational Research,95,649–655
Monittoa M., Pappalardoa P., Tolioa T., 2012. A new Fuzzy AHP method for the Evaluation of Automated Manufacturing Systems, CRIP-Annals Manufacturing Technology, Vol.51, pp. 395-398.
Mau-Crimins,T., de steiguer,J.E., Dennis,D., 2005. AHP as a means for improving public participation: a pre–post experiment with university students, Forest Policy and Economics, Vol.7, 501-514.
Chen, Q., and Triantaphyllou, E., 2001. Estimating Data for Multi-criteria Decision Making Problems: Optimization techniques, in: Pardalos, P.M., and Floudas, C., (Eds.), Encyclopedia of Optimization, Vol.2, 27–36.
Li, L., Zhi-Hua Shia, Wei Yinb, Dun Zhua, Sai Leung Ngc, Chong-Fa Caia, A-Lin Lei, 2009. A fuzzy analytic hierarchy process (FAHP) approach to eco-environmental vulnerability assessment for the danjiangkou reservoir area, China, Ecological Modeling Vol.220, 3439–3447.
Yang, M., Khan, FI, Sadiq, R., 2011. Prioritization of environmental issues in offshore oil and gas operations: A hybrid approach using fuzzy inference system and fuzzy analytic hierarchy process, Process Safety and Environmental Protection vol.8 (9), 22–34.
WWW.SURATMUNICIPAL.GOV.IN2018
vinod kumar TM (ed)2016 smart economy in smart cities international collaborative.
Mancilla-Amaya, L., Sanin, C., & Szczerbicki, E. (2010). Smart knowledge-sharing platform for e-decisional community. Cybernetics and Systems: An International Journal, 41(1), 17-30.
Meijer (2013) Governing the Smart City: Scaling-Up the Search for Socio-Techno Synergy. Permanent Study group on E-Government, Utrecht University.
Mosannenzadeh, F. Vettoratob. D. (2014). Defining smart city: Aconcepttual frame work based on key word analaysis. Journal of Land Use, Mobility and Environment. ISSN 1970-9889, e- ISSN 1970