International Journal of Information and Decision Sciences http://www.inderscience.com/browse/index.php?journalID=306&year=2012&vol=4&issue=1 Inderscience Publishers Ltd en-uk International Journal of Information and Decision Sciences 1756-7017 1756-7025 © 2012 Inderscience Publishers Ltd editor@inderscience.com https://www.inderscience.com/images/files/coverImgs/ijids_scoverijids.jpg http://www.inderscience.com/browse/index.php?journalID=306&year=2012&vol=4&issue=1 http://www.inderscience.com/link.php?id=45125 This study proposes the use of approximate queries in order to improve the effectiveness and efficiency of data warehousing systems on mobile ad hoc networks (MANETs). In particular, the approach proposed shifts some computational cost, from the server to the client on the mobile network, thus increasing the power efficiency of the server. The study presents the concept of aggregate query approximation, goodness-of-fit of such approximations, and an evaluation of energy consumption. Approximation queries for building energy-aware data warehouses on mobile ad hoc networks
Hsun Ming Lee; Francis A. Méndez Mediavilla; Enrique P. Becerra; James R. Cook
International Journal of Information and Decision Sciences, Vol. 4, No. 1 (2012) pp. 1 - 18
This study proposes the use of approximate queries in order to improve the effectiveness and efficiency of data warehousing systems on mobile ad hoc networks (MANETs). In particular, the approach proposed shifts some computational cost, from the server to the client on the mobile network, thus increasing the power efficiency of the server. The study presents the concept of aggregate query approximation, goodness-of-fit of such approximations, and an evaluation of energy consumption.

]]> 10.1504/IJIDS.2012.045125 International Journal of Information and Decision Sciences, Vol. 4, No. 1 (2012) pp. 1 - 18 Hsun Ming Lee; Francis A. Méndez Mediavilla; Enrique P. Becerra; James R. Cook Department of Computer Information Systems and Quantitative Methods, Texas State University – San Marcos, 601 University Dr. San Marcos, Texas 78666, USA. ' Department of Computer Information Systems and Quantitative Methods, Texas State University – San Marcos, 601 University Dr. San Marcos, Texas 78666, USA. ' Department of Marketing, Texas State University – San Marcos, 601 University Dr. San Marcos, Texas 78666, USA. ' Department of Computer Information Systems and Quantitative Methods, Texas State University – San Marcos, 601 University Dr. San Marcos, Texas 78666, USA data warehousing online analytical processing OLAP energy-aware servers approximate queries decision support systems DSS mobile ad hoc networks MANETs iterative proportional fitting IPF mobile networks energy consumption. 2012-01-27T23:20:50-05:00 4 1 1 18 2012-01-27T23:20:50-05:00 http://www.inderscience.com/link.php?id=45126 Due to less efficiency in Tehran Stock Market, the common methods employed for ranking firms are not reliable enough. In this paper, combined decision-making models are presented which can evaluate the companies' financial performance by means of financial ratios. One of the considered approaches is based on 'analytical hierarchy process (AHP)' and 'technique for order preference by similarity to ideal solution (TOPSIS)' and the other one, which is proposed similarly in this paper, is based on 'fuzzy analytical hierarchy process (FAHP)' and 'TOPSIS'. Comparisons of these methods would specify the similarities or differences between them and also examine the superiority of FAHP over AHP which is widely accepted as the result of using fuzzy numbers. These methods were applied for ranking and evaluating financial performances of cement firms in Tehran Stock Exchange using their financial tables from 2002 to 2008. Eventually through statistical tests, the results obtained from these methods and their powers were compared. Separating successful and unsuccessful firms using multiple attribute decision-making methods
Masumeh Danesh Shakib; Safar Fazli
International Journal of Information and Decision Sciences, Vol. 4, No. 1 (2012) pp. 19 - 47
Due to less efficiency in Tehran Stock Market, the common methods employed for ranking firms are not reliable enough. In this paper, combined decision-making models are presented which can evaluate the companies' financial performance by means of financial ratios. One of the considered approaches is based on 'analytical hierarchy process (AHP)' and 'technique for order preference by similarity to ideal solution (TOPSIS)' and the other one, which is proposed similarly in this paper, is based on 'fuzzy analytical hierarchy process (FAHP)' and 'TOPSIS'. Comparisons of these methods would specify the similarities or differences between them and also examine the superiority of FAHP over AHP which is widely accepted as the result of using fuzzy numbers. These methods were applied for ranking and evaluating financial performances of cement firms in Tehran Stock Exchange using their financial tables from 2002 to 2008. Eventually through statistical tests, the results obtained from these methods and their powers were compared.

]]> 10.1504/IJIDS.2012.045126 International Journal of Information and Decision Sciences, Vol. 4, No. 1 (2012) pp. 19 - 47 Masumeh Danesh Shakib; Safar Fazli Department of Industrial Management, Imam Khomeini International University (IKIU), Noruzian Street, Qazvin, 34149-16818, Iran. ' Department of Industrial Management, Imam Khomeini International University (IKIU), Noruzian Street, Qazvin, 34149-16818, Iran firms ranking financial ratio multiple attribute decision making MADM analytical hierarchy process fuzzy AHP FAHP technique for order preference by similarity to ideal solution TOPSIS financial performance cement firms Tehran Stock Exchange Iran successful firms unsuccessful firms. 2012-01-27T23:20:50-05:00 4 1 19 47 2012-01-27T23:20:50-05:00 http://www.inderscience.com/link.php?id=45127 Society's attitude toward seismic risk, in the last few years, has evolved from fatalistic to proactive. This paper presents an approach in the area of seismic risk management. The objective is to implement a methodology in a seismic prone area in an earthquake risk management framework, based on the case study of the island of Lefkada. A tool to assist in the selection of an intervention proactive strategy is the multi-criteria analysis. The outranking method ELECTRE III is used as decision-aid in earthquake risk management problems. Its application to decision support for earthquake risk management in the island of Lefkada is presented. Earthquake risk management: the case study of Lefkada Island
Evanthia A. Nanaki; Christopher J. Koroneos
International Journal of Information and Decision Sciences, Vol. 4, No. 1 (2012) pp. 48 - 62
Society's attitude toward seismic risk, in the last few years, has evolved from fatalistic to proactive. This paper presents an approach in the area of seismic risk management. The objective is to implement a methodology in a seismic prone area in an earthquake risk management framework, based on the case study of the island of Lefkada. A tool to assist in the selection of an intervention proactive strategy is the multi-criteria analysis. The outranking method ELECTRE III is used as decision-aid in earthquake risk management problems. Its application to decision support for earthquake risk management in the island of Lefkada is presented.

]]> 10.1504/IJIDS.2012.045127 International Journal of Information and Decision Sciences, Vol. 4, No. 1 (2012) pp. 48 - 62 Evanthia A. Nanaki; Christopher J. Koroneos Interdisciplinary Programme of Post Graduate Studies 'Environment and Development', School of Rural and Surveying Engineering, National Technical University of Athens, Iroon Polytecniou 9, Zografou 157 80, Athens, Greece. ' Interdisciplinary Programme of Post Graduate Studies 'Environment and Development', School of Rural and Surveying Engineering, National Technical University of Athens, Iroon Polytecniou 9, Zografou 157 80, Athens, Greece seismic forecasting decision support systems DSS outranking methods Greece earthquake risk management earthquakes seismic risk Lefkada. 2012-01-27T23:20:50-05:00 4 1 48 62 2012-01-27T23:20:50-05:00 http://www.inderscience.com/link.php?id=45128 The performance evaluation of banks is an essential task in the determination of banks' capabilities to compete in the sector. The conventional method – a calculation by intuition – for devising such evaluations is often inaccurate. To overcome these difficulties, this paper proposes that case-based reasoning (CBR) could be employed to provide performance evaluations from historical banks of Tunisian banking sector. The main objective of these evaluations is to transform data and statistics into synthetic information easy to understand by several groups of people in the banking domain such as creditors, investors and stakeholders. The aim of this study is to propose a linguistic similarity method in the retrieval mechanism of CBR to evaluate the banks' performances. By this way, the two-tuple linguistic representation model is integrated in the proposed model. The weights of criteria are determined based on the opinions of experts using the Choquet integral to model interactions between them. A linguistic similarity method in case-based reasoning for performance evaluation in Tunisian banking sector
Diala Dhouib; Habib Chabchoub
International Journal of Information and Decision Sciences, Vol. 4, No. 1 (2012) pp. 63 - 86
The performance evaluation of banks is an essential task in the determination of banks' capabilities to compete in the sector. The conventional method – a calculation by intuition – for devising such evaluations is often inaccurate. To overcome these difficulties, this paper proposes that case-based reasoning (CBR) could be employed to provide performance evaluations from historical banks of Tunisian banking sector. The main objective of these evaluations is to transform data and statistics into synthetic information easy to understand by several groups of people in the banking domain such as creditors, investors and stakeholders. The aim of this study is to propose a linguistic similarity method in the retrieval mechanism of CBR to evaluate the banks' performances. By this way, the two-tuple linguistic representation model is integrated in the proposed model. The weights of criteria are determined based on the opinions of experts using the Choquet integral to model interactions between them.

]]> 10.1504/IJIDS.2012.045128 International Journal of Information and Decision Sciences, Vol. 4, No. 1 (2012) pp. 63 - 86 Diala Dhouib; Habib Chabchoub Department of Quantitative Methods, Superior Institute of Industrial Management of Sfax, Mharza Road Km 1.5 BP 954 – 3018 Sfax, Tunisia. ' Department of Quantitative Methods, Superior Institute of Industrial Management of Sfax, Mharza Road Km 1.5 BP 954 – 3018 Sfax, Tunisia performance evaluation case-based reasoning CBR case retrieval two-tuple model Choquet integral linguistic similarity metric Tunisia bank performance banks banking industry. 2012-01-27T23:20:50-05:00 4 1 63 86 2012-01-27T23:20:50-05:00 http://www.inderscience.com/link.php?id=45129 The performance of an estimator can be improved by incorporating some additional information available, besides the sample information. Our interest is to estimate the mean, slope, and response of simple linear regression model when some prior guess values are available from the past. The relative performances of the proposed estimators are investigated based on bias ratio and relative efficiency. It is observed that the proposed estimators fare better than classical estimators and existing shrinkage estimators. Improved shrinkage testimators for the simple linear regression model
Z.A. Al-Hemyari; I.H. Hussain
International Journal of Information and Decision Sciences, Vol. 4, No. 1 (2012) pp. 87 - 103
The performance of an estimator can be improved by incorporating some additional information available, besides the sample information. Our interest is to estimate the mean, slope, and response of simple linear regression model when some prior guess values are available from the past. The relative performances of the proposed estimators are investigated based on bias ratio and relative efficiency. It is observed that the proposed estimators fare better than classical estimators and existing shrinkage estimators.

]]> 10.1504/IJIDS.2012.045129 International Journal of Information and Decision Sciences, Vol. 4, No. 1 (2012) pp. 87 - 103 Z.A. Al-Hemyari; I.H. Hussain Department of Mathematical and Physical Sciences, University of Nizwa, P.O. Box 33, Postal Code 616, Oman. ' Department of Statistics, Al-Mustansiryah University, Baghdad, Altalibya, Iraq regression line shrinkage significance levels bias relative efficiency linear regression modelling estimator performance estimators testimators. 2012-01-27T23:20:50-05:00 4 1 87 103 2012-01-27T23:20:50-05:00