Read e-book online Intelligent Techniques in Engineering Management: Theory and PDF

By Cengiz Kahraman, Sezi Çevik Onar

ISBN-10: 3319179055

ISBN-13: 9783319179056

ISBN-10: 3319179063

ISBN-13: 9783319179063

This booklet offers lately built clever suggestions with purposes and concept within the quarter of engineering administration. The concerned functions of clever thoughts akin to neural networks, fuzzy units, Tabu seek, genetic algorithms, and so forth. may be helpful for engineering managers, postgraduate scholars, researchers, and lecturers.

The e-book has been written contemplating the contents of a classical engineering administration booklet yet clever strategies are used for dealing with the engineering administration troublesome areas. This complete features of the booklet makes it a good reference for the answer of complicated difficulties of engineering administration. The authors of the chapters are recognized researchers with their prior works within the zone of engineering management.

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Extra info for Intelligent Techniques in Engineering Management: Theory and Applications

Example text

A bee waiting on the dance area for making decision to choose a food source is called an onlooker and a bee going to the food source visited by itself previously is named an employed bee. A bee carrying out random search is called a scout. In the ABC algorithm, first half of the colony consists of employed artificial bees and the second half constitutes the onlookers. For every food source, there is only one employed bee. The employed bee whose food source is exhausted by the employed and onlooker bees becomes a scout (Karaboga and Basturk 2007).

Since u is concave, we have u00 ðnðxÞÞ 0, therefore gðxÞ 0 for any x 2 R. 5(ii) it follows that Ef ðu00 ðnðAÞÞðA À mÞ2 Þ ¼ Ef ðgðAÞÞ 0. Then, by (4), Ef ðuðw þ AÞÞ uðw þ AÞ for any w. Thus the agent u is possibilistic risk–averse. ðiiÞ ) ðiÞ: Assume that the function u is not concave. Then there exists w 2 R and an interval I ¼ ½w À d; w þ dŠ such that u0 ðxÞ [ 0 for any x 2 I. We choose a fuzzy number A such that sup pð AÞ  I. If ½AŠc ¼ ½a1 ðcÞ; a2 ðcފ for c 2 ½0; 1Š, then ½a1 ð0Þ; a2 ð0ފ ¼ sup pðAÞ  I.

2 Possibilistic Models of Risk Management 33 (ii) For any fuzzy number A with Ef ðAÞ ¼ 0, the possibilistic risk premium pðx; A; uÞ is decreasing in wealth. (iii) v is more concave than u. 6; ðiiÞ , ðiiiÞ: Let A be a fuzzy number with Ef ðAÞ ¼ 0. Assume that ½AŠc ¼ ½a1 ðcÞ; a2 ðcފ for all c 2 ½0; 1Š. 6) applied to v it follows that # Z a2 ðcÞ 1 0 ð1 À p ðx; A; uÞÞu ðx À pðx; A; uÞÞ ¼ u ðx þ tÞdt f ðcÞdc a2 ðcÞ À a1 ðcÞ a1 ðcÞ 0 # Z a2 ðcÞ Z 1" 1 vðx þ tÞdt f ðcÞdc ¼À a2 ðcÞ À a1 ðcÞ a1 ðcÞ 0 0 0 Z 1 " ¼ ÀEf ðvðx þ AÞÞ ¼ Àvðx À pðx; A; vÞÞ From the above equalities it follows that p0 ðx; A; uÞ u0 ðx À pðx; A; uÞÞ þ vðx À pðx; A; vÞ vðxÀpðx;A;vÞÞÀvðxÀpðx;A;uÞ ¼ .

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Intelligent Techniques in Engineering Management: Theory and Applications by Cengiz Kahraman, Sezi Çevik Onar

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