The same correction applies to the corresponding author footnote on page 2689 where it reads: ∗Corresponding author. Yun-Zhi Liu, Department of Information Management and Decision Sciences, Northeastern University of School of Business Administration, Shenyang 110167, China. ∗Corresponding author. Yun-Zhi Liu, Department of Information Management and Decision Sciences, School of Business Admini...

Based on the square heat-generation body (HGB) with “arrow-shaped” high-thermal-conductivity channel (HTCC) model established in previous literature, we performed multi-objective optimization (MOO) maximum temperature difference (MTD) minimization and entropy-generation rate (EGR) as objectives for its performance. Pareto frontiers optimal set were obtained based NSGA-II. TOPSIS, LINMAP, Shanno...

G languages provide a basis to infer best-fitting noncompensatory decision rules from full-rank conjoint data or partial-rank data such as consider-then-rank, consider-only, or choice data. Potential decision rules include elimination by aspects, acceptance by aspects, lexicographic by features, and a mixed-rule lexicographic by aspects (LBA) that nests the other rules. We provide a dynamic pro...

This paper investigates the adequacy of the hierarchical Bayes (HB) model for rankbased conjoint data. While recent research has demonstrated the robustness of the HB model compared to traditional estimation methods for rank based conjoint models, we conduct an indepth analysis of the underlying reasons of these findings. Hereby we investigate the fundamental assumptions of rank based conjoint ...

Due to the nature of real world problems, the collected data usually involve some kind of uncertainty. As a matter of fact, many parts of information cannot be quantified due to their nature. Incomplete information or partial ignorance is also another cause for resorting to fuzziness. In many decision making problems, fuzzy values are approximated by crisp data. This defuzzification leads to lo...