Expedited Award for Novel Research:  A Priority Base Expert System for Solving Multiple Objective Linear Programming    Problems
{'Code': '07010000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'ECCS', 'LongName': 'Div Of Electrical, Commun & Cyber Sys'}}
{'SignBlockName': 'Kevin I. Sewell'}
This project involves the development of a framework for constructing           an expert system based multiple objective decision support system.              The approach is to conceptually decouple the decision making                    activities from the mathematical programming computations, and then             employ AI techniques to efficiently determine preferences and                   interactively solve the multiple objective LP problem.  This approach           is novel and could lead to exciting developments for interactive, on-           line decision support systems for operational systems.  It is also              quite timely and deserving of immediate attention.                                                                                                              The interface of operations research and artificial intelligence is an          area that was identified in a recent OR workshop as an important area           for future direction of research.  Ben Malakooti is a young scholar             with demonstrated capabilities for conducting this research and Case            Western Reserve University provides an excellent environment for the            study.  A novel award is recommended.
{'FirstName': 'Behnam', 'LastName': 'Malakooti', 'EmailAddress': 'bxm4@po.cwru.edu', 'StartDate': '05/15/1988', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Case Western Reserve University', 'CityName': 'CLEVELAND', 'ZipCode': '441064901', 'PhoneNumber': '2163684510', 'StreetAddress': 'Nord Hall, Suite 615', 'CountryName': 'United States', 'StateName': 'Ohio', 'StateCode': 'OH'}
[{'Code': '1454', 'Text': 'SYSTEMS THEORY'}, {'Code': '9145', 'Text': 'SPECIAL PROGRAMS-RESERVE'}]
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1988&All=true', 'xml': '8814233.xml'}