By Luis Argüelles Mendez
This publication uses the LISP programming language to supply readers with the mandatory heritage to appreciate and use fuzzy common sense to resolve basic to medium-complexity real-world difficulties. It introduces the fundamentals of LISP required to take advantage of a Fuzzy LISP programming toolbox, which used to be particularly carried out through the writer to “teach” the speculation at the back of fuzzy good judgment and while equip readers to exploit their newly-acquired wisdom to construct fuzzy versions of accelerating complexity. The e-book fills a massive hole within the literature, delivering readers with a practice-oriented reference consultant to fuzzy common sense that gives extra complexity than renowned books but is extra available than different mathematical treatises at the subject. As such, scholars in first-year collage classes with a uncomplicated tertiary mathematical historical past and no prior event with programming can be capable of simply stick to the content material. The ebook is meant for college students and pros within the fields of computing device technology and engineering, as good as disciplines together with astronomy, biology, drugs and earth sciences. software program builders can also make the most of this publication, that's meant as either an introductory textbook and self-study reference advisor to fuzzy common sense and its functions. the whole set of capabilities that make up the bushy LISP programming toolbox should be downloaded from a spouse book’s website.
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Additional info for A Practical Introduction to Fuzzy Logic using LISP
1, Lisp is an acronym for LISt Processing, that is, all the data and programming in Lisp is based on an organizational structure characteristic of this programming language called “list”. This chapter is entirely dedicated to this pivotal aspect of Lisp and we shall dedicate space enough for showing how to create, manage, modify, reset and eliminate lists. The previous chapter gave you a quick introduction to simple numerical calculations using Lisp as a way of getting a ﬁrst touch with the language.
Second, we are interested in modeling the facility itself, that is, to represent how many cars are waiting in the toll station in real time. Before entering into the details, let us take a quick view at how pop and push do work. Let us start creating an empty list: > (setq queue ‘()) : () Now three elements, a, b and c, enter in the list sequentially: > (push ‘a queue) : (a) > (push ‘b queue) : (b a) > (push ‘c queue) : (c b a) As it can be seen, the push function adds elements into a list “pushing” them sequentially from the frontal part of the list to its back.
Let us type the following Lisp expressions with attention: > (atom? a) : true Since “a”, either containing a value or not, is indivisible, is clearly an atom. > (symbol? ‘a) : true Here “a” is quoted, that is, it is not evaluated by Lisp, so it is a completely legal symbol for Lisp. It does not matter if it holds any associated value. >a : nil The direct evaluation of “a” returns nil because it does not contains anything. We have not yet assigned any value to it by means of the function setq so Lisp evaluates it to nil.