Ranking the sustainability performance of pavements: An intuitionistic fuzzy decision making method

Application of fuzzy logic for social sustainability performance evaluation: a case study of an Indian automotive component manufacturing organization

“…They also considered Organizational governance and technical aspects as fourth and fifth dimensions. Kucukvar et al (2014) proposed a fuzzy Multi-Criteria Decision Making (MCDM) method for ranking lifecycle sustainability performance of different pavement alternatives. They used Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method to select the best pavement alternative; intuitionistic fuzzy entropy method to identify the importance of phases and criteria; intuitionistic fuzzy weighted geometric averaging operator to establish a sub-decision making matrix based on weights of attribute, and intuitionistic fuzzy weighted arithmetic averaging operator to build a super decision matrix depending on weights of different life cycle phases.…”

Combined application of multi-criteria optimization and life-cycle sustainability assessment for optimal distribution of alternative passenger cars in U.S.

“…You et al (2012) used a joint application of MCDA and LCA for a case study of biomass production chains, and Liu et al (2012) applied a combination of risk assessment, LCA, and MCDM to a case study in a waste recycling facility. Kucukvar et al (2014b) used a fuzzy MCDM approach in order to rank the life cycle sustainability performance of warmmix and hot-mix asphalt pavements constructed in the U.S. Although various LCA models have been developed for environmental analyses of alternative vehicle technologies, few studies found in the literature considered MCDM as an integrated decisionmaking framework for alternative vehicle technologies.…”

Life Cycle Sustainability Assessment: What Is It and What Are Its Challenges?

“…We should thus pay due attention to relating sustainability questions to the most appropriate tools of our industrial ecology toolbox. The alternative is to throw the dic Kucukvar and Tatari ( 2013 ) To quantify the overall environmental, economic and social impacts of the US construction sectors using an economic input-output-based sustainability assessment framework Lack of comprehensive data sets for all three pillars Uncertainty assessment Onat et al ( 2014 ) Integrating several social and economic indicators demonstrating the usefulness of IO modelling for quantifying sustainability impacts, providing an economywide analysis and a macro-level LCSA Dynamic system approach Kucukvar et al ( 2014b ) To develop a triple bottom line sustainability assessment model evaluating the environmental and socio-economic impacts of pavements Uncertainty assessment; weighting of different impacts Kucukvar et al ( 2014a ) Adding fuzzy multi-criteria decision-making method to the approach above Improving the backcasting models to including more impact categories, dynamics, defi nition of a welfare function, allocation of surplus consumption to consumption categories, etc.…”