An Interactive Organizational Choice Processing System to Support Decision Making by Using a Prescriptive Garbage Can Model.

Abstract

This thesis discusses and implements an interactive decision support system using a Prescriptive Garbage Can Model. The fundamental presumption is that if the choice-outcome relationships in an organization can be observed and evaluated, it is possible to extract predictiveness from uncertain streams, and allow the organization to shift to a less random strategy. Solving organizational problems consists of selecting those choices that lead the organization in a direction towards the ideal state. Thus, it is convenient to model the organizational state transitions as a Markovian process with stationary properties. The purpose of a Prescriptive Garbage Can Model is to advise the participants of the choices available in a current situation, and to present choice policies leading the highest potential benefits. Also a method of interfacing the current system with an expert system for intelligent decision making is examined.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1987
Accession Number
ADA184124

Entities

People

  • Sun M. Kang

Organizations

  • Naval Postgraduate School

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Communities of Interest

  • Energy and Power Technologies
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Application Software
  • Computer Programs
  • Computer Science
  • Computers
  • Decision Support Systems
  • Expert Systems
  • Information Systems
  • Iterations
  • Management Information Systems
  • Military Operations
  • Operations Research
  • Organizational Structure
  • Probability
  • Schools
  • Software Design
  • User Manuals

Readers

  • Computational Linguistics
  • Mathematical Modeling and Probability Theory.
  • Systems Analysis and Design