This paper will present a novel concept of expected values of fuzzy variables, which is essentially a type of Choquet integral and coincides with that of random variables. In order to calculate the expected value of general fuzzy variable, a fuzzy simulation technique is also designed. Finally, we construct a spectrum of fuzzy expected value models, and integrate fuzzy simulation, neural networ...

The usual procedure to compare metaheuristics or evolutionary algorithms using cross validation is repeating the training stage several times for each train/test pair. In general, the results of the different repetitions are not independent and this practice is questionable. In this work, it is suggested to represent the results of each train/test set pair by an interval or by a fuzzy set and u...

The theoretical study of the effect of Corticosterone release scores was determined. Formulae of fuzzy two parameter Weibull distribution, fuzzy Survival and fuzzy hazard rate function and its α-cut sets were presented. Using fuzzy survival and hazard rate model based on two parameter Weibull distributions, we showed that in the test termination, if the fuzzy Survival value increases then the f...

one of the most effective tools for decline cost and time, quality improvement and consequently project performance enhancement especially in construction projects, is value engineering. there are linguistic judgments in many cases of value engineering studies in construction projects such as interior design, mechanical installations design, and etc. therefore multiple attribute decision-making...

Abstract In conventional sampling plans, the rate of fraction faulty items is supposed and fixed, but in some practical situations, this value not fixed fuzzy. To attain real flexible value, we used transmuted Weibull distribution a fuzzy environment. Fuzzy based on set theory. According to our investigation, acceptance The improvement research evaluate vague portion malfunctioning ( $$\tilde{p...

A simple probability based term weighting scheme for automated text classification p. 33 Text classification for healthcare information support p. 44 Nurse scheduling using fuzzy multiple objective programming p. 54 Fuzzy adaptive threshold determining in the key inheritance based sensor networks p. 64 A new approach for evaluating students' answerscripts based on interval-valued fuzzy sets p. ...

Abstr act. Traditional optimization methods have been applied for years to high-yield fertilization models, which are usually well formulated by crisp coefficients and variables. Unfortunately, real-world crop growing environment and process are often not deterministic. In this paper we establish a fuzzy mathematical model between Camellia oleifera yield and fertilization application rates, in ...