Week 5 Project
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Managing Knowledge in Digital Firms—Part 2
Genetic algorithms: Solve speci�c problems using genetically based processes such as mutation, crossover, and �tness. Genetic algorithms are applicable to problems involving product design, the monitoring of industrial systems, and optimization where many variables or alternatives are evaluated to generate an optimal solution.
Expert systems: Extract tacit knowledge from a limited domain of human expertise and transform that knowledge into rules. An inference engine, which is a methodology to search through the knowledge base, will use either forward or backward chaining. The forward chaining procedure uses the information that a user enters as search criteria and then searches the rule base in the expert system to arrive at a conclusion. The backward chaining problem-solver approach starts with a hypothesis and then seeks out more information until the hypothesis is either proved or disproved. Expert systems are most useful for solving problems of diagnosis or classi�cation.
Case-Based Reasoning (CBR): Stores organizational knowledge in a database of cases that can be dynamically re�ned and expanded. When the CBR system faces a new case, it searches its database for similar cases with solutions and workarounds, �nds the closest �t, and then applies the proven solutions to the new case. Once proven the new case is added to the database of successful solutions. A temporary workaround is suggested until a new version of product is released with permanent solutions. The CBR can notify clients or users when a new release or solution is available for installation.
Neural networks: Consist of a con�guration of hardware and software that attempts to mimic the human brain. Neural networks have the ability to recognize patterns that humans can’t easily detect and learn without programming. Neural networks are utilized in medicine, science, and business primarily to differentiate patterns buried within massive amounts of data.
Let us now explore how using DSS enhances management decision-making in organizations.