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- W2178117539 abstract "This chapter sets the ground for all subsequent ones by introducing key elements upon which the linguistic fuzzy-logic approach is built. Due to the novelty of linguistic fuzzy-logic in social sciences and the need for rigor in presenting the material, the chapter is somewhat demanding in its formal aspects. Yet the mathematical manipulations themselves do not involve any advanced knowledge of mathematics as such. Most importantly, the formal aspects are imperative for an understanding of key elements in subsequent chapters. For example, some readers might wonder why I include a discussion of formal logic. This will become clear since, as explained for example in chapters 4 and 5, I go back to the formal logic level of conventional game theory and then use that as a springboard for introducing the linguistic fuzzy-logic version of game theory. I also do likewise for introducing linguistic causal and data analysis and linguistic network analysis. In short, although this chapter might at a first look seem to be mathematically demanding, technically speaking it is not, except at the level of formal rigor. The chapter begins with a discussion of how one goes from Boolean logic to fuzzy logic analysis. It then presents a discussion of the essential notion of linguistic variable and related issues. The chapter ends with a discussion of how to aggregate linguistic information expressed using linguistic variables. I include illustrative examples throughout the chapter to make the material less dry as much as possible, without however losing the imperative of formal rigor." @default.
- W2178117539 created "2016-06-24" @default.
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- W2178117539 date "2010-01-01" @default.
- W2178117539 modified "2023-09-25" @default.
- W2178117539 title "Elements of Linguistic Fuzzy-Logic and Framework" @default.
- W2178117539 doi "https://doi.org/10.1007/978-3-642-13343-5_2" @default.
- W2178117539 hasPublicationYear "2010" @default.
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