The linear programming technique for multidimensional analysis of preference (LINMAP) is one of the well-known methods for multiple attribute group decision making (MAGDM). In this paper, we extend the LINMAP method to solve MAGDM problems in interval-valued intuitionistic fuzzy environment in which all the preference information provided by the decisionmakers is presented as interval-valued in...

Purpose: In recent years, although several studies have focused on Lean Six Sigma project selection, none of them have applied a Lean Six Sigma approach to evaluate e-health reference architectures. Therefore, there is a significant gap of Lean Six Sigma application for e-Health architectures in e-Health care quality improvement literature. In this paper, we present a Lean Six Sigma approach to...

The Linear Programming Technique for Multidimensional Analysis of Preference (LINMAP) developed by Srinivasan and Shocker [V. Srinivasan, A.D. Shocker, Linear programming techniques for multidimensional analysis of preference, Psychometrika 38 (1973) 337–342] is one of the existing well-known methods for multiattribute decision making (MADM) problems. However, the LINMAP only can deal with MADM...

Considering nonlinear variation of working fluid’s specific heat with its temperature, finite-time thermodynamic theory is applied to analyze and optimize the characteristics an irreversible Atkinson cycle. Through numerical calculations, performance relationships between cycle dimensionless power density versus compression ratio thermal efficiency are obtained, respectively. When design parame...

This study aims at identifying and ranking the performance influencing factors (PIFs) that cause error in human operations. The failure weight rate for tasks carried out by each operator were investigated. Assessing these reduces error, hence increasing safety, efficiency job satisfaction. methods of linear programming technique multidimensional analysis preference (LINMAP) Bayesian Belief Netw...