نتایج جستجو برای: fuzzy regression analysis

تعداد نتایج: 3047549  

2013
Azlin Md Said Mahdi Shahrokhi Ehsan Akhtarkavan Fatemeh Rostami

It is essential to have a uniform and calm flow field for a primary settling tank with high performance. In other words reducing the kinetic energy of the flow inside the settling tank can improve significantly the efficiency of these tanks and give opportunity to particles to settle in the settling zone of the tank. So determination of the velocity magnitude in various positions can be a good ...

Journal: :iranian journal of fuzzy systems 2010
h hassanpour h. r maleki m. a yaghoobi

the fuzzy linear regression model with fuzzy input-output data andcrisp coefficients is studied in this paper. a linear programmingmodel based on goal programming is proposed to calculate theregression coefficients. in contrast with most of the previous works, theproposed model takes into account the centers of fuzzy data as animportant feature as well as their spreads in the procedure ofconstr...

Journal: :journal of livestock science and technologies 2015
m. r. zare mehrjerdi m. ziaabadi a. ayatollahi mehrgardi o. dayani

to calculate partial and total productivity of production factors in broiler farms in yazd province, 72 manufacturing units were selected based on simple random sampling method and their information and statistics were collected for one production period in the second half of 2013. to measure productivity, the cobb-douglas production function was estimated using classic and fuzzy regression met...

Journal: :Transactions of the Institute of Systems, Control and Information Engineers 2000

ژورنال: اندیشه آماری 2020

In this paper, the difference between classical regression and fuzzy regression is discussed. In fuzzy regression, nonphase and fuzzy data can be used for modeling. While in classical regression only non-fuzzy data is used. The purpose of the study is to investigate the possibility of regression method, least squares regression based on regression and linear least squares linear regression met...

Journal: :Inf. Sci. 2008
Shih-Pin Chen Jr-Fong Dang

Fuzzy regression models have been applied to operational research (OR) applications such as forecasting. Some of previous studies on fuzzy regression analysis obtain crisp regression coefficients for eliminating the problem of increasing spreads for the estimated fuzzy responses as the magnitude of the independent variable increases; however, they still cannot cope with the situation of decreas...

2015
William Chung

Benchmarking systems from a sample of reference buildings need to be developed to conduct benchmarking processes for the energy efficiency of commercial buildings. However, not all benchmarking systems can be adopted by public users (i.e., other non-reference building owners) because of the different methods in developing such systems. An approach for benchmarking the energy efficiency of comme...

Journal: :International Journal of the Society of Materials Engineering for Resources 1995

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