文章基本信息

标题：IDENTIFICATION OF SOURCES OF TRANSACTION COSTS - A FUZZY APPROACH FOR THE EVALUATION OF ANALYTICAL CATEGORIES
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作者：Marcos Alves dos Reys ; Alessandro Porporatti Arbage ; Sibele Vasconcelos de Oliveira 等
期刊名称：Organizações Rurais & Agroindustriais
印刷版ISSN：1517-3879
出版年度：2010
卷号：12
期号：1
页码：11-19
语种：English
出版社：Universidade Federal de Lavras
摘要：This work intends to assess the evaluation of analytical categories related to the identification of transaction costs. Assuming an analytical model for the identification of the transaction costs proposed by Arbage (2004) in which categories are discussed in terms of which analyses to be made and how to evaluate them. Amongst these categories, 'opportunism' is assessed in terms of patterns of behavior and measured in terms of confidence. The work supports the use of the fuzzy theory for measuring this category in particular. Through the fuzzy theory, there is the possibility of modeling and manipulate vague and inexact information mathematically, natural of the human language and, therefore, also the information supplied for the specialists when characterizing the considered processes.
其他摘要：This work intends to assess the evaluation of analytical categories related to the identification of transaction costs. Assuming an analytical model for the identification of the transaction costs proposed by Arbage (2004) in which categories are discussed in terms of which analyses to be made and how to evaluate them. Amongst these categories, 'opportunism' is assessed in terms of patterns of behavior and measured in terms of confidence. The work supports the use of the fuzzy theory for measuring this category in particular. Through the fuzzy theory, there is the possibility of modeling and manipulate vague and inexact information mathematically, natural of the human language and, therefore, also the information supplied for the specialists when characterizing the considered processes.
关键词：Transactions costs; analytical categories; fuzzy theory.
其他关键词：Transactions costs; analytical categories; fuzzy theory.