Personnel Selection Using Fuzzy Multi-Criteria Decision Making Methods

Language: English

Published by LAP LAMBERT Academic Publishing Dez 2017, 2017

6134910651 / 9786134910651

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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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Softcover

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This item is printed on demand - it takes 3-4 days longer - Neuware -Personnel selection usually is done by a group of decision makers as a result of the evaluation of candidates by various criteria and subjective judgments. Placing the right personnel to the right job depends on the selection according to objective criteria. The personnel selection problems are included in the multi-criteria decision making (MCDM) problems because large number of the criteria effects on the decisions and number of the candidates are more than one. Fuzzy decision making methods are useful in cases where there is uncertainty because the criteria and the weights can be evaluated by linguistic variables. Fuzzy Analytic Hierarchy Process (FAHP), fuzzy TOPSIS (FTOPSIS) and fuzzy Electre (FELECTRE) are fuzzy multi-criteria decision making methods which are used to solve the uncertainty of the decision makers' decision. In this book, FAHP, FTOPSIS and FELECTRE are applied to the personnel selection. There are six basic criteria for selecting the best candidate among the five applicants. These criteria are: biography, education, experience, foreign language, personality and references. Through these methods five applicant were ranked from good to worst in terms of values. 112 pp. Englisch.…

Seller Inventory # 9786134910651

Title
Personnel Selection Using Fuzzy Multi-Criteria Decision Making Methods
Author
Tar¿k Çakar
Publisher
LAP LAMBERT Academic Publishing Dez 2017
Publication year
2017
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6134910651
ISBN 13
9786134910651
Item weight
185 grams
Dimensions
220x150x7 mm

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

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AbeBooks seller since January 11, 2012

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BuchWeltWeit Ludwig Meier e.K.

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