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Iranian Journal of Fuzzy Systems، جلد ۲، شماره ۱، صفحات ۱-۱۷
عنوان فارسی SIMULATING CONTINUOUS FUZZY SYSTEMS: I
چکیده فارسی مقاله In previous studies we first concentrated on utilizing crisp simulation
to produce discrete event fuzzy systems simulations. Then we extended
this research to the simulation of continuous fuzzy systems models. In this paper
we continue our study of continuous fuzzy systems using crisp continuous
simulation. Consider a crisp continuous system whose evolution depends on
differential equations. Such a system contains a number of parameters that
must be estimated. Usually point estimates are computed and used in the
model. However these point estimates typically have uncertainty associated
with them. We propose to incorporate uncertainty by using fuzzy numbers as
estimates of these unknown parameters. Fuzzy parameters convert the crisp
system into a fuzzy system. Trajectories describing the behavior of the system
become fuzzy curves. We will employ crisp continuous simulation to estimate
these fuzzy trajectories. Three examples are discussed.
کلیدواژه‌های فارسی مقاله Fuzzy systems، Fuzzy differential equations، Simulation، Uncertainty،
عنوان انگلیسی SIMULATING CONTINUOUS FUZZY SYSTEMS: I
چکیده انگلیسی مقاله In previous studies we first concentrated on utilizing crisp simulation
to produce discrete event fuzzy systems simulations. Then we extended
this research to the simulation of continuous fuzzy systems models. In this paper
we continue our study of continuous fuzzy systems using crisp continuous
simulation. Consider a crisp continuous system whose evolution depends on
differential equations. Such a system contains a number of parameters that
must be estimated. Usually point estimates are computed and used in the
model. However these point estimates typically have uncertainty associated
with them. We propose to incorporate uncertainty by using fuzzy numbers as
estimates of these unknown parameters. Fuzzy parameters convert the crisp
system into a fuzzy system. Trajectories describing the behavior of the system
become fuzzy curves. We will employ crisp continuous simulation to estimate
these fuzzy trajectories. Three examples are discussed.
کلیدواژه‌های انگلیسی مقاله Fuzzy systems, Fuzzy differential equations, Simulation, Uncertainty
نویسندگان مقاله j j buckley | j j
department of mathematics, university of alabama at birmingham, birmingham, alabama, 35294, usa

کسری reilly | k d
department of computer and information sciences, university of alabama at birmingham, birmingham, alabama, 35294, usa

l j jowers | l j
department of computer and information sciences, university of alabama at birmingham, birmingham, alabama, 35294, usa

نشانی اینترنتی http://ijfs.usb.ac.ir/article_471_f3efc123c3db28ced3c6f896f470dbb4.pdf
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