DETERMINATION OF OPTIMAL BIDDING PROFIT RATE BY FUZZY SET THEORY

The paper presents a method for determining the global sensitivity indices of the vibrostability limit to the change of mass-damping-spring parameters in machine tool models. The non-stationary character of the models is handled by the analysis of variants. The global sensitivity indices are calculated on the basis of the frequency of variant appearance and the vibrostability limit that corresponds to each variant. To compute the global sensitivity indices fuzzy set theory is applied.

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Effect of thermal environment on performance of broiler chickens using fuzzy modeling

Revista CERES ◽

10.1590/0034-737x201764040001 ◽

2017 ◽

Vol 64 (4) ◽

pp. 337-343

Author(s):

Flávio Alves Damasceno ◽

Déborah Cunha Cassuce ◽

Lucas Henrique Pedrozo Abreu ◽

Leonardo Schiassi ◽

Ilda de Fátima Ferreira Tinôco

Keyword(s):

Set Theory ◽

Air Temperature ◽

Fuzzy Set ◽

Fuzzy Set Theory ◽

Broiler Chickens ◽

Thermal Environment ◽

Second Phase ◽

Feed Conversion ◽

Productivity Losses

ABSTRACT This study aimed to develop a decision-support system based on fuzzy set theory, which can estimate welfare depending on the production responses of broiler chickens raised in climatic chambers. In the first phase, the influence of four different air temperature conditions on the performance of broilers was identified. Thus, the effect of air temperature on productivity was evaluated. In the second phase, a model was developed using the fuzzy set theory, in which feed intake responses, weight gain, and feed conversion were established according to age and the air temperature at which the birds were maintained, obtaining an efficient evaluation of the thermal environment. The results indicate that the proposed methodology is a promising technique for the determination of the level of thermal comfort endured by broilers, capable of assisting in making decisions on control of the thermal environment, avoiding productivity losses.

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Determination of Country of Origin Image with Fuzzy Set Theory

International Conference on Eurasian Economies 2012 ◽

10.36880/c03.00471 ◽

2012 ◽

Author(s):

Selçuk Burak Haşıloğlu

Keyword(s):

World War I ◽

Set Theory ◽

Fuzzy Set ◽

Fuzzy Set Theory ◽

Fuzzy Ahp ◽

Country Of Origin ◽

Raw Material ◽

Ideal Solution ◽

Product Group

As foreign trade has become more spread, the country of production and even the origin of the raw material used in the production has become an important factor. Mentioning the country of origin on the label of the product dates back to World War-I when “Good product sells itself” understanding is dominant. In this study, the image of country of origin was evaluated with fuzzy set theory. Fuzzy sets theory lays foundation for the methods used in the solution of relative and uncertain problems. As image evaluation is a relative issue, these methods were used in our study. The first phase in the study model is data collection. Data collected was used to determine image factors, calculate factor loads (weights) and order alternatives. In the determination of image factors Fuzzy Cognitive Mapping (FCM) method was employed. To calculate factor and alternative weights Fuzzy Analytic Hierarchy Process (AHP) method was used. In the phase of ordering of alternatives which are called product group elements both Fuzzy AHP and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method were employed. TOPSIS is based on the main principle of similarity to ideal solution and is employed to solve problem and make decision. In our study FCM, Fuzzy AHP and TOPSIS methods were used in stages, analyses were performed and solutions were developed. In the final part, there are evaluations with regard to which product group will be more effective when which image is minimized.

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