Abstract Discrete choice experiments are used to collect data that facilitates measurement and understanding of consumer preferences. A sample 750 respondents was employed evaluate a new method best-worst scaling collection. This decreased the number attributes questions while discerning preferences for larger set through self-stated preference “filter” questions. The resulted in overall equiva...

Characterizing and identification of flood-susceptible areas can be a solution to mitigate the damages fatality rate. This study proposes novel hybrid MCDM framework assess flood susceptibility in large ungauged watersheds dealing with data scarcity issues. The proposed method examines interdependencies causal relationships between various criteria affecting flooding procedure using DEcision-MA...

This paper presents an innovative Fuzzy-Stochastic Approach (FSA) to solve Binary Linear Programming (BLP) problems under uncertainties. An Interval-coefficient Fuzzy Binary Linear Programming (IFBLP) model is applied here to reflect two different types of uncertainty in a BLP problem. In the proposed IFBLP model the interval coefficient is used to reflect parameter uncertainty, and the fuzzy g...

Launch site location selection is a critical managerial and technical decision-making problem in the space industry. The criteria obtained from massive amount of essential factors, considerations, pre-requests provide input for assessment process. decision-makers evaluate many candidate launch locations considering various aspects during evaluation phase. best worst method developed recently mu...