Validation method using fuzzy simulation in an object-oriented physical modeling framework

Gyooseok Kim; Paul A. Fishwick

doi:10.1117/12.319329

24 August 1998 Validation method using fuzzy simulation in an object-oriented physical modeling framework

Gyooseok Kim, Paul A. Fishwick

Proceedings Volume 3369, Enabling Technology for Simulation Science II; (1998) https://doi.org/10.1117/12.319329
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

Abstract

Object oriented physical modeling (OOPM) is an object- oriented methodology for constructing physical models by emphasizing a clear framework to organize the geometry and dynamics of the models. An environment called MOOSE is under development to explore this OOPM concept. MOOSE provides a solid connection between blackboard models and software models in an unambiguous way, capturing both static and dynamic semantics of objects. Even though this facility reinforces the relation of 'model' to 'program', an adequate validation technique for modeling processes has not yet been developed. In this paper, we propose a validation method for the modeling process in MOOSE. This method utilizes a fuzzy simulation approach to encode uncertainty arisen from human reasoning process into computer simulation components.

Citation Download Citation

Gyooseok Kim and Paul A. Fishwick "Validation method using fuzzy simulation in an object-oriented physical modeling framework", Proc. SPIE 3369, Enabling Technology for Simulation Science II, (24 August 1998); https://doi.org/10.1117/12.319329

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available