C.L. Hwang’s research while affiliated with Kansas State University and other places

... The CoCoSo model, based on an integrated SAW and exponentially weighted product model, was proposed by [43] and utilizes Max-Min normalization. The TOPSIS method, based on the principle that alternatives have the shortest distance to the positive ideal solution and the longest distance to the negative ideal solution, was developed by [44] and employs vector normalization. The WASPAS method, developed by [45], employs additive normalization. ...

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A Hybrid MCDM Approach for SDGs Assessment of EU Countries

... This subsection presents a new method to solve the MOIT2FLP problem with the vagueness in TCs. Consider the MOIT2FLP problem (30). There are four modes ...

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Multi‐objective interval type‐2 fuzzy linear programming problem with vagueness in coefficient

... 4 | AUGMECON METHOD Hwang et al. (1980) classified multi-objective optimization solution methods into three categories: posteriori, interactive, and priori. In a priori solution, decision-makers can express their preferred weights for an OF prior to solving a problem. ...

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Link between sustainable circular supply chain and Internet of Things technology in electric vehicle battery manufacturing industry: A business strategy optimization for pickup and delivery

... The study's methodology followed Becker et al. (2021), using the TOPSIS method to rank asphalt mixtures based on similarity to an ideal solution (Hwang and Yoon, 1981). The similarity ratio (S TOPSISj ) (Equation 1) is calculated using the weighted Euclidean distance between each alternative Before sorting, the technique requires normalizing the evaluation matrix x ij . ...

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Using a hybrid multi-criteria analysis method to classify hot mix asphalt regarding permanent deformation