Fuzzy Logic for Planning and Decision Making by Freerk A. Lootsma (auth.)

By Freerk A. Lootsma (auth.)

This e-book begins with the fundamental strategies of Fuzzy common sense: the club functionality, the intersection and the union of fuzzy units, fuzzy numbers, and the extension precept underlying the algorithmic operations. numerous chapters are dedicated to functions of Fuzzy good judgment in Operations examine: PERT making plans with doubtful task periods, Multi-Criteria determination research (MCDA) with obscure preferential statements, and Multi-Objective Optimization (MOO) with weighted levels of delight. New goods are: Fuzzy PERT utilizing job intervals with triangular club services, Fuzzy shrewdpermanent with a sensitivity research established upon Fuzzy good judgment, the Additive and the Multiplicative AHP with the same function, ELECTRE utilizing the tips of the AHP and shrewdpermanent, and a comparative research of the ideal-point tools for MOO. eventually, previous reports of color conception illustrate the makes an attempt to discover a physiological foundation for the set-theoretical and the algorithmic operations in Fuzzy common sense. The final bankruptcy additionally discusses a few key concerns in linguistic categorization and the clients of Fuzzy common sense as a multi-disciplinary learn task.
Audience: Researchers and scholars operating in utilized arithmetic, operations learn, administration technology, company management, econometrics, commercial engineering, details structures, man made intelligence, mathematical psychology, and psycho-physics.

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Extra resources for Fuzzy Logic for Planning and Decision Making

Example text

3}. 5 M(U) M(U)-5 The degree of fuzziness of the set A is given by M(AnA) M(AuA) whereas the set B has the degree of fuzziness O. 7 CHAPTER 2. 6 FUZZY NUMBERS In our daily conversation we frequently use qualitative terms with a quantitative connotation, as we remarked in the introduction. We also use imprecise numbers : the distance between The Hague and Rotterdam is roughly twenty kilometers, the annual number of fatal accidents on the roads in The Netherlands is roughly thirteen hundred , the annual number of hospitalized road victims is roughly twelve thousand, for a curtain in front of a rectangular window of twelve m2 one needs roughly twenty four m2 of material, the quantitative data in the recipes of a cookery-book should be taken with a grain of salt, etc.

With these data the activity duration can be modelled as a stochastic variable with a beta distribution or a gamma distribution, and also as a triangular fuzzy number. Stochastic activity durations with a beta distribution. The PERT team modelled the stochastic activity duration d as a beta distribution with the density function fed) = c(d - a)a-I (b - d)P-', if a s: d s: b, and zero elsewhere . The symbol c stands for the integration constant, the parameters a and fJ are supposed to be greater than 1.

BASIC CONCEPTS OF FUZZY LOGIC -------.. 4 Maximum disagreement between referees. By a similar argument the truth value of the statement x belongs to A and to B can be written as max(O,,u A (x) + ,uB (x) - 1). In the literature, the operators corresponding to the largest possible disagreement are usually referred to as the bounded-sum operators. Finally, we can also imagine the referees to be independent as much as possible. Then the truth values of the union and the intersection are simply givenby ,uA(X) + ,uB(X)- ,uA(X),u B(X) and u A(X),uB (x) respectively.

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