نتایج جستجو برای: Imprecise Response

تعداد نتایج: 984302  

Journal: :journal of mahani mathematical research center 0
alireza arabpour department of statistics, faculty of mathematics and computer, shahid bahonar university of kerman, kerman, iran. marzei amini department of statistics, faculty of mathematics and computer, shahid bahonar university of kerman, kerman, iran.

a weighted linear regression model with impercise response and p-real explanatory variables is analyzed. the lr fuzzy random variable is introduced and a metric is suggested for coping with this kind of variables. a least square solution for estimating the parameters of the model is derived. the result are illustrated by the means of some case studies.

Journal: :International Journal of Approximate Reasoning 2010

Journal: :journal of industrial engineering, international 2011
s razavyan g tohidi

this paper introduces discretionary imprecise data in data envelopment analysis (dea) and discusses the efficiency evaluation of decision making units (dmus) with non-discretionary imprecise data. then, suggests a method for evaluation the efficiency of dmus with non-discretionary imprecise data. when some inputs and outputs are imprecise and non-discretionary, the dea model becomes non-linear ...

Journal: :International Journal of Approximate Reasoning 2010

Journal: :Int. J. Approx. Reasoning 2010
Maria Brigida Ferraro Renato Coppi Gil González-Rodríguez Ana Colubi

A linear regression model with imprecise response and p real explanatory variables is analyzed. The imprecision of the response variable is functionally described by means of certain kinds of fuzzy sets, the LR fuzzy sets. The LR fuzzy random variables are introduced to model usual random experiments when the characteristic observed on each result can be described with fuzzy numbers of a partic...

G Tohidi S Razavyan

This paper introduces discretionary imprecise data in Data Envelopment Analysis (DEA) and discusses the efficiency evaluation of Decision Making Units (DMUs) with non-discretionary imprecise data. Then, suggests a method for evaluation the efficiency of DMUs with non-discretionary imprecise data. When some inputs and outputs are imprecise and non-discretionary, the DEA model becomes non-linear ...

Journal: :Risk Decision and Policy 2000

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