Title: Improved hybrid fuzzy logic system for evaluating sustainable transportation systems in smart cities
Authors: Chenghua Wang; Oscar Sanjuán Martínez; Rubén González Crespo
Addresses: School of Public Affairs, Chongqing University, Chongqing 400044, China ' School of Engineering and Technology, Universidad Internacional de La Rioja, 26006, Spain ' School of Engineering and Technology, Universidad Internacional de La Rioja, 26006, Spain
Abstract: Modern times are required for smart cities to have sustainable transport systems. In several years the number of transport operations has increased considerably and the development is expected to increase in the years to follow. This links environmental costs directly to reduce the quality of life in urban cities like air pollution, noise, etc. Municipal governments invest in clean, safe, efficient and economic sustainable transport networks to address this problem. The problem facing decision makers in transportation is how these sustainable transport systems can be defined and selected. We introduce an improved hybrid fuzzy logic system (IHFLS) for the generation of aggregate values for the sustainable evaluation of hybrid fuzzy logic. There are three phases in the suggested solution. In step 1, we define the sustainability evaluation criteria for transport. In step 2, experts provide language ratings against selected criteria for potential alternatives. Lastly, IHFLS generates aggregate results for the evaluation of sustainability and the choice of best alternatives.
Keywords: fuzzy logic system; sustainable transport networks; improved hybrid fuzzy logic system; IHFLS.
International Journal of Shipping and Transport Logistics, 2021 Vol.13 No.5, pp.554 - 568
Received: 15 Apr 2020
Accepted: 04 Nov 2020
Published online: 31 Aug 2021 *