SBIR-STTR Award

The ability of humans to make complex decisions is one of the most interesting aspects of human intelligence, especially when judgemental, ambiguous, absense, or erratic knowledge is concerned. This project focuses on the development of a methodology to classify multi-attribute alternatives into evidence blocks for evaluation in automated decision support processes. Anautics developed approach combines both fuzzy set theory and grey system to provide knowledge units to decision makers and systems in the most complex supply system environments.

Benefit:
The developed methodology will be ideal for any organization who has the need for automating processes of their decision methodology using uncertain and dispersed information. As industries including automobile, aerospace and medical progress toward standardized rule-based decision systems, requirements and specifications must be configured from imperfect knowledge. Anautics methodology would insure that availability and performance attributes are available to support systems engineers in the ultimate goal of product improvement.

Keywords:
Decision Support System, Muti-Attribute Decision Making, Fuzzy Set Theory, Fuzzy Grey Matter, Grey Interval Relational Degree, Deviation Degree, Knowledge Management

As we move from a paper-based world into a digital environment, the internet will soon evolve from a virtual documentation system into a vibrant ecosystem of data where documents and human actors play an even smaller role. We are currently reaching a tipping point in history concerning data: more data is being manufactured by machines, servers, mobile devices, and software applications than by people. We must develop standards, schemas, and processes for organizing and manipulating this data so its relevant to the user. On this project we well develop an RDF ontology for mapping the air force data network and also investigate a framework for deploying mobile apps that are operating system independent. This technology will allow government software teams to build these applications one time and deploy to any mobile device connected to their networks.

Benefit:
Decision making and the process utilized for making the best decisions possible, the quality or strength of any decision is in direct correlation to the data or information used to make those critical decisions. This project will provide the DoD/AF the ability to search and "mashup" every type of information on their networks and delivered through mobile devices.

Keywords:
Rdf, Ontology, Mashup, Mobile, Apps, Decision, Maintenance, Data