AUTHORS: Nazli Goker, Mehtap Dursun, Ergun Ari
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ABSTRACT: - Sustainable and intelligent transportation systems aim to make contribution to economy and reduce environmental damages by providing a number of benefits namely road safety, efficient city management, energy efficiency, and reduced travel time and fuel consumption. This study presents an intuitionistic fuzzy cognitive map (IFCM) application to evaluate the importance degrees of selection criteria of sustainable and intelligent transportation systems. An intuitionistic decision based approach is proposed to evaluate criteria due to the cause-and-effect relationships among concepts; uncertainty, vagueness, and hesitation in data. A committee of three experts that work all as managers in logistics sector in Turkey provide the evaluation of causal relations among criteria. They express their opinions by reaching a consensus and the power of interrelationships and then concepts’ values are identified employing the iterative formulation of IFCM.
KEYWORDS: - Sustainable and intelligent transportation systems, intuitionistic fuzzy cognitive map, cause-andeffect relationships, hesitation in data
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