Joe Lorkowski

Publication Activity (10 Years)

Years Active: 1996-2016
Publications (10 Years): 1

Top Topics

Decision Making

Numerical Values

Top Venues

J. Adv. Comput. Intell. Intell. Informatics

Publications

Olga Kosheleva, Vladik Kreinovich, Joe Lorkowski, Martha Osegueda Escobar
How to transform partial order between degrees into numerical values. SMC (2016)
Joe Lorkowski, Vladik Kreinovich, Olga Kosheleva
In Engineering Classes, How to Assign Partial Credit: From Current Subjective Practice to Exact Formulas (Based on Computational Intelligence Ideas). SSCI (2015)
Joe Lorkowski, Luc Longpré, Olga Kosheleva, Salem Benferhat
Coming up with a good question is not easy: A proof. NAFIPS/WConSC (2015)
Joe Lorkowski, Olga Kosheleva, Vladik Kreinovich
How to take into account a student's degree of certainty when evaluating the test results. FIE (2015)
Hung T. Nguyen, Vladik Kreinovich, Joe Lorkowski, Saiful Abu
Why Sugeno λ-measures. FUZZ-IEEE (2015)
Joe Lorkowski, Olga Kosheleva, Vladik Kreinovich
How success in a task depends on the skills level: two uncertainty-based justifications of a semi-heuristic Rasch model. IFSA-EUSFLAT (2015)
Joe Lorkowski, Olga Kosheleva, Vladik Kreinovich, Sergei Soloviev
How Design Quality Improves with Increasing Computational Abilities: General Formulas and Case Study of Aircraft Fuel Efficiency. J. Adv. Comput. Intell. Intell. Informatics 19 (5) (2015)
Joe Lorkowski, Vladik Kreinovich
How Much for an Interval? a Set? a Twin Set? a p-Box? A Kaucher Interval? Towards an Economics-Motivated Approach to Decision Making Under Uncertainty. SCAN (2014)
Joe Lorkowski, Vladik Kreinovich, Rafik A. Aliev
Towards decision making under interval, set-valued, fuzzy, and Z-number uncertainty: A fair price approach. FUZZ-IEEE (2014)
Joe Lorkowski, Vladik Kreinovich
Fuzzy Logic Ideas Can Help in Explaining Kahneman and Tversky's Empirical Decision Weights. WCSC (2014)
Joe Lorkowski, Vladik Kreinovich
Likert-scale fuzzy uncertainty from a traditional decision making viewpoint: It incorporates both subjective probabilities and utility information. IFSA/NAFIPS (2013)
Joe Lorkowski, Vladik Kreinovich
If we measure a number, we get an interval. What if we measure a function or an operator? Reliab. Comput. 2 (3) (1996)