Related Topics
Take Another Quiz

MIS Chapter 7

45 Questions
Management Quizzes & Trivia

MIS Chapter 7

Questions and Answers
  • 1. 
    Data consists of raw facts, such as an employee number, number of hours worked in a week, inventory part numbers, or sales orders.
    • A. 

      True

    • B. 

      False

  • 2. 
    Examples of data workers include writers, researchers, educators, and corporate designers.
    • A. 

      True

    • B. 

      False

  • 3. 
                     Some organizations and professions use communities of practice (COP) to create, store, and share knowledge.
    • A. 

      True

    • B. 

      False

  • 4. 
                     An effective KMS is based on learning new knowledge and changing procedures and approaches as a result.
    • A. 

      True

    • B. 

      False

  • 5. 
    Micro-electro-mechanical systems can be used in a person’s blood to monitor the body, and for other purposes in air bags, cell phones, refrigerators, and more.
    • A. 

      True

    • B. 

      False

  • 6. 
    Contemporary robotics combine both high-precision machine capabilities and sophisticated controlling software.
    • A. 

      True

    • B. 

      False

  • 7. 
    Neural network systems are effective at identifying people based on facial features.
    • A. 

      True

    • B. 

      False

  • 8. 
    The natural language processing system corrects spelling mistakes, converts abbreviations into words and commands, and allows people to ask questions in English.
    • A. 

      True

    • B. 

      False

  • 9. 
    A particular skill of natural language processing is analyzing detailed trends.
    • A. 

      True

    • B. 

      False

  • 10. 
    Neural networks can process many pieces of data at the same time and learn to recognize patterns.
    • A. 

      True

    • B. 

      False

  • 11. 
    A database system consists of a collection of integrated and related components, including a knowledge base, an inference engine, an explanation facility, a knowledge base acquisition facility, and a user interface.
    • A. 

      True

    • B. 

      False

  • 12. 
    A knowledge base is a natural extension of a database and an information and decision support system.
    • A. 

      True

    • B. 

      False

  • 13. 
                     As the number of rules that an expert system knows increases, the precision of the expert system decreases.
    • A. 

      True

    • B. 

      False

  • 14. 
    Knowledge acquisition can be a manual process or a mixture of manual and automated procedures.
    • A. 

      True

    • B. 

      False

  • 15. 
    Knowledge users require training in computers or expert systems.
    • A. 

      True

    • B. 

      False

  • 16. 
                     ____ are people who create, use, and disseminate knowledge.
    • A. 

      Knowledge workers

    • B. 

      Knowledge engineers

    • C. 

      Data workers

    • D. 

      Data engineers

  • 17. 
    A ____ system approximates the way a person sees, hears, and feels objects.
    • A. 

      Learning

    • B. 

      Vision

    • C. 

      Perceptive

    • D. 

      Management information

  • 18. 
    A(n) ____ system consists of hardware and software that stores knowledge and makes inferences, similar to those of a human expert.
    • A. 

      Vision

    • B. 

      Learning

    • C. 

      Database

    • D. 

      Expert

  • 19. 
                      ____ involves the development of mechanical or computer devices that can paint cars, make precision welds, and perform other tasks that require a high degree of precision or are tedious or hazardous for human beings.
    • A. 

      Backward chaining

    • B. 

      Robotics

    • C. 

      Natural language processing

    • D. 

      Forward chaining

  • 20. 
                     ____ include hardware and software that permit computers to capture, store, and manipulate visual images.
    • A. 

      Vision systems

    • B. 

      Learning systems

    • C. 

      Neural networks

    • D. 

      Intelligent agents

  • 21. 
                     ____ convert sound waves into words.
    • A. 

      Vision systems

    • B. 

      Robotic systems

    • C. 

      Voice recognition systems

    • D. 

      Learning systems

  • 22. 
    A ____ is a combination of software and hardware that allows the computer to change how it functions or reacts to situations based on feedback it receives.
    • A. 

      Vision system

    • B. 

      Database system

    • C. 

      Voice recognition system

    • D. 

      Learning system

  • 23. 
    A(n) ____ is an approach to solving large, complex problems in which many repeated operations or models change and evolve until the best one emerges.
    • A. 

      Inference engine

    • B. 

      Genetic algorithm

    • C. 

      Intelligent agent

    • D. 

      Neural network

  • 24. 
    A(n) ____ consists of programs and a knowledge base used to perform a specific task for a person, a process, or another program.
    • A. 

      Database system

    • B. 

      Genetic algorithm

    • C. 

      Intelligent agent

    • D. 

      Neural network

  • 25. 
                     A(n) ____ is a conditional statement that links conditions to actions or outcomes.
    • A. 

      Rule

    • B. 

      Neural network

    • C. 

      Intelligent agent

    • D. 

      Inference engine

  • 26. 
    The overall purpose of a(n) ____ is to seek information and relationships from the knowledge base and to provide answers, predictions, and suggestions the way a human expert would.
    • A. 

      Neural network

    • B. 

      Bot

    • C. 

      Vision system

    • D. 

      Inference engine

  • 27. 
                     ____ is the process of starting with conclusions and working backward to the supporting facts.
    • A. 

      Forward chaining

    • B. 

      Backward chaining

    • C. 

      Neural processing

    • D. 

      Knowledge engineering

  • 28. 
    ____ starts with the facts and works forward to the conclusions.
    • A. 

      Forward chaining

    • B. 

      Backward chaining

    • C. 

      Neural networking

    • D. 

      Knowledge engineering

  • 29. 
    The ____ is the person or group with the expertise or knowledge the expert system is trying to capture.
    • A. 

      Domain expert

    • B. 

      Knowledge engineer

    • C. 

      Database expert

    • D. 

      Intelligent agent

  • 30. 
    A(n) ____ is a collection of software packages and tools used to design, develop, implement, and maintain expert systems.
    • A. 

      MIS shell

    • B. 

      Neural network shell

    • C. 

      Virtual reality shell

    • D. 

      Expert system shell

  • 31. 
                     ____ are available for both personal computers and mainframe systems.
    • A. 

      MIS shells

    • B. 

      Neural network shells

    • C. 

      Virtual reality shells

    • D. 

      Expert system shells

  • 32. 
                     ____ is an expert system that uses fuzzy logic to perform plant layout.
    • A. 

      FLEXPERT

    • B. 

      MYCIN

    • C. 

      THORASK

    • D. 

      Employee Appraiser

  • 33. 
                     ____ is an expert system developed at Stanford University to analyze blood infections.
    • A. 

      FLEXPERT

    • B. 

      MYCIN

    • C. 

      THORASK

    • D. 

      Employee Appraiser

  • 34. 
    The ____ interface relays the sense of touch and other physical sensations in the virtual world.
    • A. 

      Haptic

    • B. 

      Database

    • C. 

      Network

    • D. 

      System

  • 35. 
    ____ involves the use of information systems to develop competitive strategies for people, organizations, or even countries.
    • A. 

      Robotics

    • B. 

      Informatics

    • C. 

      Fuzzy logic

    • D. 

      Game theory

  • 36. 
    ____________________ is a collection of facts organized so that they have additional value beyond the value of the facts themselves.
  • 37. 
    ____________________ is the awareness and understanding of a set of information and the ways that information can be made useful to support a specific task or reach a decision.
  • 38. 
    ____________________ knowledge is objective and can be measured and documented in reports, papers, and rules.
  • 39. 
    ____________________ knowledge is hard to measure and document and typically is not objective or formalized.
  • 40. 
    After knowledge is created, it is often stored in a(n) ____________________ that includes documents, reports, files, and databases.
  • 41. 
                      ____________________ processing allows a computer to understand and react to statements and commands made in a “natural” language, such as English.
  • 42. 
    ____________________ rules help computers evaluate the imperfect or imprecise conditions they encounter and make educated guesses based on the probability of correctness of the decision.
  • 43. 
    The purpose of a(n) ______________________________ is to provide a convenient and efficient means for capturing and storing all components of the knowledge base.
  • 44. 
    Because of the time and effort involved in the task, an expert system is developed to address only a specific area of knowledge. This area of knowledge is called the ____________________.
  • 45. 
    ____________________ combines traditional disciplines, such as science and medicine, with information systems and technology.