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Unit 12: Intelligent Techniques




                                                                                                Notes
             Did u know? Factual knowledge describes the characteristics and important attributes of
             objects in the system.

          Deployment

          In the deployment phase the developer installs the system for routine use. He also fixes bugs,
          updates, and enhances the expert system.




              Task  Discuss specification building block of expert system.

          Self Assessment

          Fill in the blanks:

          1.   An ................................ is a computer system which emulates the decision-making ability of
               a human expert.
          2.   A .................................... system is any system which performs a job or task by applying
               rules of thumb to a symbolic representation of knowledge, instead of employing mostly
               algorithmic or statistical methods.
          3.   The ................................ step is where the developer defines what the expert system will do.

          4.   Expert system development can be modeled as a ................................., where each circuit
               adds more capabilities to the system.

          12.2 Fuzzy Logic Systems


          Fuzzy Logic Systems are defined as computer-based systems that can access data that are
          incomplete or only partially accurate. These systems can solve unstructured problems with
          incomplete knowledge by producing approximate inferences and solutions.
          Fuzzy Logic is a technique of reasoning that appears similar human reasoning as it permits for
          approximate values and inferences (fuzzy logic) and incomplete data (fuzzy data) rather than
          depending only on Crisp data, like binary (yes/no) options.

          Fuzzy Logic in Business

          Instances of applications of fuzzy logic are various in Japan, but rate in the United States. The
          United States has tended to favor by means of AI solutions such as expert systems or neural
          networks. Japan has executed many fuzzy logic applications, especially the use of special-purpose
          fuzzy logic microprocessors chips, known as fuzzy process controllers.


                 Example: Fuzzy logic applications in Japan include:

              Riding in subway trains and elevators
              Riding in cars that are guided or supported by fuzzy process controllers
              Trading  shares on the Tokyo Stock Exchange  by  means  of  a stock-trading program
               depending on fuzzy logic





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