A System for Quantitative Request Approval Using Qualitative Metrics

Cheng Zhang, Tennessee State University


Administrative personnel in large organizations often cannot or will not assess work requests quantitatively, however optimal resource allocation typically require quantitative values. In order to bridge this gap, a software-based system was developed that used Linguistic Decision Making theory to convert the qualitative assessments to quantitative values towards optimal resource allocation. The case of the United States Air Force Research Laboratory (AFRL) was used to develop a prototype system for the evaluation and approval of new work requests. The system was developed to rank requests by decision maker preferences over AFRL defined qualitative attributes, AFRL sub-organization priorities, and work request type. The system was able to provide improved traceability on decisions, speed up decision making, and aid in better resource allocation considerations.

Subject Area

Computer science|Operations research|Management|Organizational behavior

Recommended Citation

Cheng Zhang, "A System for Quantitative Request Approval Using Qualitative Metrics" (2020). ETD Collection for Tennessee State University. Paper AAI28154049.