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Practical Method for Management Decision-Making Using Fuzzy Logic

机译:运用模糊逻辑进行管理决策的实用方法

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The procedure of selecting elements (objects) from a database under pre-established conditions is frequently encountered in decision-making problems. Even though many methods exist to facilitate the manipulation of data in a database, one of the most popular ones is a declarative language known as Structured English Query Language (SQL). Although SQL can easily capture the mechanical intent of a query, it lacks the ability to capture the semantics of a query. We can group and slice up collections of data in a variety of ways, but each division of the record collection proceeds along crispy lines. The use of fuzzy logic helps in the solution of the problem that arises when using crispy functions for extracting data from a database. Several problems are encountered when trying to apply fuzzy logic to practical problems. Among them, the fuzzy sets definition. Difficulties encountered in the development of this task negatively affect the employ of fuzzy logic, especially in developing relatively small non-repetitive engineering projects. This paper presents an easy-to-use methodology for the application of fuzzy logic for extracting rows from a database in the decision-making process. At the end, a simple case study is presented: The selection of a construction company in a bidding process.
机译:在预先确定的条件下从数据库中选择元素(对象)的过程经常遇到决策问题。尽管存在许多促进数据库中数据操作的方法,但最受欢迎的方法之一是称为结构化英语查询语言(SQL)的声明性语言。尽管SQL可以轻松捕获查询的机械意图,但是它缺乏捕获查询语义的能力。我们可以通过多种方式对数据集合进行分组和切片,但是记录集合的每个划分都是沿着清晰的线条进行的。使用模糊逻辑有助于解决使用脆性函数从数据库提取数据时出现的问题。尝试将模糊逻辑应用于实际问题时会遇到几个问题。其中,模糊集定义。在执行此任务时遇到的困难会对模糊逻辑的使用产生负面影响,尤其是在开发相对较小的非重复性工程项目时。本文提出了一种易于使用的方法,用于在决策过程中应用模糊逻辑从数据库中提取行。最后,提出了一个简单的案例研究:在招标过程中选择一家建筑公司。

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