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    CH 13

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    JugalKSewag
    The document discusses different types of fuzzy decision making processes, including individual decision making, multi-person decision making, multi-objective decision making, and multi-attribute decision making. It also covers fuzzy Bayesian decision making, which uses probability theory and Bayesian inference to represent uncertainty. The chapter examines how these methods address imprecision in decision making goals, constraints, and consequences.

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    CH 13

    Uploaded by

    JugalKSewag
    16 views13 pages
    The document discusses different types of fuzzy decision making processes, including individual decision making, multi-person decision making, multi-objective decision making, and multi-attribute decision making. It also covers fuzzy Bayesian decision making, which uses probability theory and Bayesian inference to represent uncertainty. The chapter examines how these methods address imprecision in decision making goals, constraints, and consequences.

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    Ch13

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    The document discusses different types of fuzzy decision making processes, including individual decision making, multi-person decision making, multi-objective decision making, and multi-attribute decision making. It also covers fuzzy Bayesian decision making, which uses probability theory and Bayesian inference to represent uncertainty. The chapter examines how these methods address imprecision in decision making goals, constraints, and consequences.

    Copyright:

    © All Rights Reserved
    Download as PPT, PDF, TXT or read online from Scribd
    Download as ppt, pdf, or txt
    16 views13 pages

    CH 13

    Uploaded by

    JugalKSewag
    The document discusses different types of fuzzy decision making processes, including individual decision making, multi-person decision making, multi-objective decision making, and multi-attribute decision making. It also covers fuzzy Bayesian decision making, which uses probability theory and Bayesian inference to represent uncertainty. The chapter examines how these methods address imprecision in decision making goals, constraints, and consequences.

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    © All Rights Reserved
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    of 13

    CHAPTER 13

    FUZZY DECISION
    MAKING

    “Principles of Soft Computing, 2nd Edition”


    by S.N. Sivanandam & SN Deepa
    Copyright  2011 Wiley India Pvt. Ltd. All rights reserved.
    FUZZY DECISION MAKING
    Decision making is a very important social, economical and scientific
    endeavor.

    The decision-making process involves three steps:

    1. Determining the set of alternatives,


    2. Evaluating alternatives,
    3. Comparison between alternatives.

    “Principles of Soft Computing, 2nd Edition”


    by S.N. Sivanandam & SN Deepa
    Copyright  2011 Wiley India Pvt. Ltd. All rights reserved.
    Certain fuzzy decision-making process are as follows:

    Individual decision making,

    Multiperson decision making,

    Multiobjective decision making,

    Multiattribute decision making,

    Fuzzy Bayesian decision making.

    “Principles of Soft Computing, 2nd Edition”


    by S.N. Sivanandam & SN Deepa
    Copyright  2011 Wiley India Pvt. Ltd. All rights reserved.
    INDIVIDUAL DECISION MAKING

    “Principles of Soft Computing, 2nd Edition”


    by S.N. Sivanandam & SN Deepa
    Copyright  2011 Wiley India Pvt. Ltd. All rights reserved.
    MULTIPERSON DECISION MAKING
    In multiperson decision making, the decision makers have access to
    different information upon which to base their decision.

    “Principles of Soft Computing, 2nd Edition”


    by S.N. Sivanandam & SN Deepa
    Copyright  2011 Wiley India Pvt. Ltd. All rights reserved.
    MULTIOBJECTIVE DECISION MAKING
    In making a decision when there are several objectives to be realized,
    then the decision making is called multiobjective decision making.

    Many decision processes may be based on single objectives such as


    cost minimization, time consumption, profit maximization and
    so on.

    The main issues in multiobjective decision making are:

    To acquire proper information related to the satisfaction of the


    objectives by various alternatives.

     To weigh the relative importance of each objective.

    “Principles of Soft Computing, 2nd Edition”


    by S.N. Sivanandam & SN Deepa
    Copyright  2011 Wiley India Pvt. Ltd. All rights reserved.
    MULTIATTRIBUTE DECISION MAKING
     The evaluation of alternatives can be carried out based on several
    attributes of the object called multiattribute decision making.

     The attributes may be classified into numerical data, linguistic data


    and qualitative data.

    “Principles of Soft Computing, 2nd Edition”


    by S.N. Sivanandam & SN Deepa
    Copyright  2011 Wiley India Pvt. Ltd. All rights reserved.
    MULTIATTRIBUTE DECISION MAKING
    The problem of decision-making structure in multiattributes deals with
    determination of an evaluation structure for the multiattribute decision
    making from the available multiattribute data xi (i = 1 to n) and
    alternative evaluations y shown in the table.

    “Principles of Soft Computing, 2nd Edition”


    by S.N. Sivanandam & SN Deepa
    Copyright  2011 Wiley India Pvt. Ltd. All rights reserved.
    FUZZY BAYESIAN DECISION MAKING
     Probability theory.

     Bayesian inference:
    • Use probability theory and information about independence.
    • Reason diagnostically [from evidence (effects) to conclusions
    (causes)] or casually (from causes to effects).

     Bayesian networks:
    • Compact representation of probability distribution over a set of
    propositional random variables.
    • Take advantage of independence relationships.

    “Principles of Soft Computing, 2nd Edition”


    by S.N. Sivanandam & SN Deepa
    Copyright  2011 Wiley India Pvt. Ltd. All rights reserved.
    FUZZY BAYESIAN DECISION MAKING

    “Principles of Soft Computing, 2nd Edition”


    by S.N. Sivanandam & SN Deepa
    Copyright  2011 Wiley India Pvt. Ltd. All rights reserved.
    Expected Utility

    “Principles of Soft Computing, 2nd Edition”


    by S.N. Sivanandam & SN Deepa
    Copyright  2011 Wiley India Pvt. Ltd. All rights reserved.
    “Principles of Soft Computing, 2nd Edition”
    by S.N. Sivanandam & SN Deepa
    Copyright  2011 Wiley India Pvt. Ltd. All rights reserved.
    SUMMARY
    The chapter has discussed the various decision-making process.

    In many decision-making situations, the goals, constraints and


    consequences of the defined alternatives are known imprecisely, which
    is due to ambiguity and vagueness.

    Methods for addressing this form of imprecision are important for


    dealing with many of the uncertainties we deal within human systems.

    “Principles of Soft Computing, 2nd Edition”


    by S.N. Sivanandam & SN Deepa
    Copyright  2011 Wiley India Pvt. Ltd. All rights reserved.

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