Since when were founded Artificial Intelligence, special attention was paid to models of representation and natural language processing methods. One of the basic principles in the automation of reasoning presupposes a knowledge base represented in some form to effectively define an appropriate context a problem. The present application aims to be a useful tool engineer knowledge in order to create a knowledge base in order to define fuzzy effectively in a particular context. Furthermore, the application provides the user a tool for building fuzzy expressions that can assess the truth. For this, application has a number of elements for defining a context with all the elements necessary to build a knowledge base appropriate to the context in question. The main elements are easily accessible via options and toolbar system that connects the modules implemented in order to achieve the goal. To assist in the operation of application modules have been developed a series of specific factors: the explanations in the form of ‘tooltip / QuickTip’, and those offered help system. For additional assistance, use the button located on the toolbar of each module.
The menu offers primarily possibility to administrate multiple contexts appropriate knowledge bases that can be stored in different places on different storage media. This allows you to initialize context to create the base for a new context, to save or load a knowledge base in order to add new elements or to modify existing ones. So you can: Create a new context (initializing knowledge base) by pressing. Upload a knowledge base already created and saved on a memory support by clicking and choosing ‘Upload context …’ or by choosing one of those available for quick access. Save the knowledge base by pressing the appropriate context .Parasiti current application by pressing the application title bar or toolbar aplicatiei.Minimizati main application window by clicking the title bar of aplicatiei.Observati that the application will store the last three ties knowledge base with which to work, choose one of the links that accompanies the knowledge base obtained from the popup menu by pressing the left main application toolbar (vertical bar next to the title).
In natural language, people can change the degree of ambiguity of an utterance (sentence) using adverbs and incredibly, very, very. An adverb is a word that modifies a verb, an adjective, or another adverb entire sentence. If you want build an expression like “temperature is very low.” Modifier linguistic really be represented in the knowledge base respecting the order in which it affects (change) a fuzzy compared to existing modifiers. To represent and manage modifiers of linguistic knowledge base, module application that refers to them have available toolbar buttons through which you can add new modifiers can modify existing ones and existing ones can be deleted modifiers. Note that if you chose to use a fuzzy modifier (first possibility here) you can not access the fuzzy numbers (the second option). If you still want to use the second way to build an expression fuzzy, you need to choose between modifiers linguistic option that represents a modifier ‘vacuum’ (lack of a modifier – the first option from the list) in which case you will have access fuzzy numbers. The same situation you will encounter when you choose to use fuzzy numbers to construct an expression, in which case you can not use modifiers linguistic and fuzzy sets. The return can be done by choosing the number fuzzy ‘vacuum’.