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<title>Most recent issue published online for the International Journal of Multicriteria Decision Making.</title>
<description>International Journal of Multicriteria Decision Making</description>
<link>http://www.inderscience.com/browse/index.php?journalID=350&amp;year=2012&amp;vol=2&amp;issue=1</link>
<dc:publisher>Inderscience Publishers Ltd</dc:publisher>
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<prism:publicationName>International Journal of Multicriteria Decision Making</prism:publicationName>
<prism:issn>2040-106X</prism:issn>
<prism:eIssn>2040-1078</prism:eIssn>
<prism:copyright>&#169; 2012 Inderscience Publishers Ltd</prism:copyright>
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<title>International Journal of Multicriteria Decision Making</title>
<url>https://www.inderscience.com/images/files/coverImgs/ijmcdm_scoverijmcdm.jpg</url>
<link>http://www.inderscience.com/browse/index.php?journalID=350&amp;year=2012&amp;vol=2&amp;issue=1</link>
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<item rdf:about="http://dx.doi.org/10.1504/IJMCDM.2012.045080">
<title>Robust strategies for mitigating operational and disruption risks&#58; a fuzzy AHP approach</title>
<link>http://www.inderscience.com/link.php?id=45080</link>
<description>Some supply chains continue to function smoothly and take short time to recover after a major disruption because they possessed &#39;robust&#39; strategies for mitigating operational and disruption risks. In this paper, some of the strategies are proposed that make the supply chain more efficient and resilient. Linguistic and subjective evaluations take place in questionnaire form to find out the best strategy for mitigating risks in Indian manufacturing industries. Each linguistic variable has its own numerical value in predefined scale. In classical analytical hierarchy process &#40;AHP&#41;, these numerical values are exact numbers whereas in fuzzy AHP method they are intervals between two numbers with most likely value. Therefore, fuzzy AHP approach is used because linguistic value can change person to person. In these circumstances, taking the fuzziness in to account will provide results that are not prone to risks. Our finding highlights the ranking of the different strategies to mitigate supply chain risks on the basis of weight and survey data.</description>
<content:encoded><![CDATA[<p><a href="http://www.inderscience.com/link.php?id=45080"><b>Robust strategies for mitigating operational and disruption risks&#58; a fuzzy AHP approach</b></A><br />A.R. Singh; P.K. Mishra; Rajeev Jain; M.K. Khurana<br /><i>International Journal of Multicriteria Decision Making, Vol. 2, No. 1 (2012) pp. 1 - 28</i><br />Some supply chains continue to function smoothly and take short time to recover after a major disruption because they possessed &#39;robust&#39; strategies for mitigating operational and disruption risks. In this paper, some of the strategies are proposed that make the supply chain more efficient and resilient. Linguistic and subjective evaluations take place in questionnaire form to find out the best strategy for mitigating risks in Indian manufacturing industries. Each linguistic variable has its own numerical value in predefined scale. In classical analytical hierarchy process &#40;AHP&#41;, these numerical values are exact numbers whereas in fuzzy AHP method they are intervals between two numbers with most likely value. Therefore, fuzzy AHP approach is used because linguistic value can change person to person. In these circumstances, taking the fuzziness in to account will provide results that are not prone to risks. Our finding highlights the ranking of the different strategies to mitigate supply chain risks on the basis of weight and survey data.</p>]]></content:encoded>
<dc:identifier>10.1504/IJMCDM.2012.045080</dc:identifier>
<dc:source>International Journal of Multicriteria Decision Making, Vol. 2, No. 1 (2012) pp. 1 - 28</dc:source>
<dc:creator>A.R. Singh; P.K. Mishra; Rajeev Jain; M.K. Khurana</dc:creator>
<dc:contributor>Department of Mechanical Engineering, Motilal Nehru National Institute of Technology, Allahabad, 211004, India. &#39; Department of Mechanical Engineering, Motilal Nehru National Institute of Technology, Allahabad, 211004, India. &#39; Department of Mechanical Engineering, Kalaniketan Polytechnic College Jabalpur, Jabalpur, 482001, India. &#39; Department of Mechanical Engineering, Motilal Nehru National Institute of Technology, Allahabad, 211004, India</dc:contributor>
<dc:subject>SCM</dc:subject>
<dc:subject>supply chain management</dc:subject>
<dc:subject>fuzzy AHP</dc:subject>
<dc:subject>analytical hierarchy process</dc:subject>
<dc:subject>disruptions</dc:subject>
<dc:subject>operational risks</dc:subject>
<dc:subject>disruption risks</dc:subject>
<dc:subject>risk management</dc:subject>
<dc:subject>risk mitigation</dc:subject>
<dc:subject>efficiency</dc:subject>
<dc:subject>resilience</dc:subject>
<dc:subject>linguistic evaluations</dc:subject>
<dc:subject>subjective evaluations</dc:subject>
<dc:subject>India</dc:subject>
<dc:subject>manufacturing industry</dc:subject>
<dc:subject>linguistic variables</dc:subject>
<dc:subject>numerical values</dc:subject>
<dc:subject>predefined scales</dc:subject>
<dc:subject>fuzziness</dc:subject>
<dc:subject>exact numbers</dc:subject>
<dc:subject>numerical intervals</dc:subject>
<dc:subject>weight</dc:subject>
<dc:subject>survey data</dc:subject>
<dc:subject>multicriteria decision making</dc:subject>
<dc:subject>MCDM.</dc:subject>
<dc:date>2012-01-24T23:20:50-05:00</dc:date>
<prism:volume>2</prism:volume>
<prism:number>1</prism:number>
<prism:startingPage>1</prism:startingPage>
<prism:endingPage>28</prism:endingPage>
<prism:publicationDate>2012-01-24T23:20:50-05:00</prism:publicationDate>
</item>
<item rdf:about="http://dx.doi.org/10.1504/IJMCDM.2012.045081">
<title>Survey forest fire detection systems via multicriteria disaggregation&#45;aggregation approach&#58; the case of Lycabettus Hill</title>
<link>http://www.inderscience.com/link.php?id=45081</link>
<description>Location of fire detection units in forests is influenced by a set of conflicting parameters representing effectiveness &#40;degree of screening, degree of overlapping&#41;, cost of installation and maintenance, reliability and security. This research work proposes a multicriteria methodological frame based on disaggregation&#45;aggregation UTA II method and MIIDAS system in order to support the selection of positions and the arrangement of the fire detection units in the forest. The methodological frame was utilised for a real world application concerning the design of Lycabettus Hill fire detection system.</description>
<content:encoded><![CDATA[<p><a href="http://www.inderscience.com/link.php?id=45081"><b>Survey forest fire detection systems via multicriteria disaggregation&#45;aggregation approach&#58; the case of Lycabettus Hill</b></A><br />Athanasios Spyridakos; Yannis Psaromiligkos; Lazaros Vryzidis; Maria Litsardaki; Ioannis Salmon<br /><i>International Journal of Multicriteria Decision Making, Vol. 2, No. 1 (2012) pp. 29 - 46</i><br />Location of fire detection units in forests is influenced by a set of conflicting parameters representing effectiveness &#40;degree of screening, degree of overlapping&#41;, cost of installation and maintenance, reliability and security. This research work proposes a multicriteria methodological frame based on disaggregation&#45;aggregation UTA II method and MIIDAS system in order to support the selection of positions and the arrangement of the fire detection units in the forest. The methodological frame was utilised for a real world application concerning the design of Lycabettus Hill fire detection system.</p>]]></content:encoded>
<dc:identifier>10.1504/IJMCDM.2012.045081</dc:identifier>
<dc:source>International Journal of Multicriteria Decision Making, Vol. 2, No. 1 (2012) pp. 29 - 46</dc:source>
<dc:creator>Athanasios Spyridakos; Yannis Psaromiligkos; Lazaros Vryzidis; Maria Litsardaki; Ioannis Salmon</dc:creator>
<dc:contributor>Technological Educational Institute of Piraeus, General Department of Mathematics, 250 P. Ralli and Thivon Avenue, 12244, Aigaleo, Athens, Greece. &#39; Technological Educational Institute of Piraeus, General Department of Mathematics, 250 P. Ralli and Thivon Avenue, 12244, Aigaleo, Athens, Greece. &#39; Technological Educational Institute of Piraeus, General Department of Mathematics, 250 P. Ralli and Thivon Avenue, 12244, Aigaleo, Athens, Greece. &#39; Technological Educational Institute of Piraeus, General Department of Mathematics, 250 P. Ralli and Thivon Avenue, 12244, Aigaleo, Athens, Greece. &#39; Technological Educational Institute of Piraeus, General Department of Mathematics, 250 P. Ralli and Thivon Avenue, 12244, Aigaleo, Athens, Greece</dc:contributor>
<dc:subject>multicriteria decision aids</dc:subject>
<dc:subject>civil protection</dc:subject>
<dc:subject>survey detection systems</dc:subject>
<dc:subject>forest fires</dc:subject>
<dc:subject>forests</dc:subject>
<dc:subject>woods</dc:subject>
<dc:subject>woodlands</dc:subject>
<dc:subject>disaggregation approaches</dc:subject>
<dc:subject>aggregation approaches</dc:subject>
<dc:subject>Lycabettus Hill</dc:subject>
<dc:subject>Athens</dc:subject>
<dc:subject>Greece</dc:subject>
<dc:subject>fire detection units</dc:subject>
<dc:subject>conflicting parameters</dc:subject>
<dc:subject>effectiveness</dc:subject>
<dc:subject>screening</dc:subject>
<dc:subject>overlapping</dc:subject>
<dc:subject>installation costs</dc:subject>
<dc:subject>maintenance costs</dc:subject>
<dc:subject>reliability</dc:subject>
<dc:subject>security</dc:subject>
<dc:subject>MIIDAS</dc:subject>
<dc:subject>multicriteria interactive intelligence decision aiding system</dc:subject>
<dc:subject>UTA II</dc:subject>
<dc:subject>multicriteria decision making</dc:subject>
<dc:subject>MCDM.</dc:subject>
<dc:date>2012-01-24T23:20:50-05:00</dc:date>
<prism:volume>2</prism:volume>
<prism:number>1</prism:number>
<prism:startingPage>29</prism:startingPage>
<prism:endingPage>46</prism:endingPage>
<prism:publicationDate>2012-01-24T23:20:50-05:00</prism:publicationDate>
</item>
<item rdf:about="http://dx.doi.org/10.1504/IJMCDM.2012.045082">
<title>Approach for modelling the sustainable performance of a building envelope for an energy efficient design</title>
<link>http://www.inderscience.com/link.php?id=45082</link>
<description>Building energy consumption continues to grow in both developing and developed countries despite numerous methods and approaches being developed to address the problem, and a substantial part of this problem is attributed to residential energy consumption. Relying on the current methods of reducing energy consumption to achieve sustainable energy efficiency in residential buildings is not sufficient to handle the current problem. Also, there is little or no concern given to the integrated passive approach of reducing energy consumption. The objective of this paper is to introduce an integrated passive approach using the residential building envelope sustainable performance modelling as an effective means of reducing building energy consumption without rebounding effects. This will involve considering the current methods of assessing building performance and subsequently developing a new approach for modelling the sustainable performance of the residential building envelope. The approach also involves using questionnaire techniques to identify the essential performance indicators that will be integrated into the new modelling approach.</description>
<content:encoded><![CDATA[<p><a href="http://www.inderscience.com/link.php?id=45082"><b>Approach for modelling the sustainable performance of a building envelope for an energy efficient design</b></A><br />Abrahams Mwasha; Rupert G. Williams; Joseph Iwaro<br /><i>International Journal of Multicriteria Decision Making, Vol. 2, No. 1 (2012) pp. 47 - 73</i><br />Building energy consumption continues to grow in both developing and developed countries despite numerous methods and approaches being developed to address the problem, and a substantial part of this problem is attributed to residential energy consumption. Relying on the current methods of reducing energy consumption to achieve sustainable energy efficiency in residential buildings is not sufficient to handle the current problem. Also, there is little or no concern given to the integrated passive approach of reducing energy consumption. The objective of this paper is to introduce an integrated passive approach using the residential building envelope sustainable performance modelling as an effective means of reducing building energy consumption without rebounding effects. This will involve considering the current methods of assessing building performance and subsequently developing a new approach for modelling the sustainable performance of the residential building envelope. The approach also involves using questionnaire techniques to identify the essential performance indicators that will be integrated into the new modelling approach.</p>]]></content:encoded>
<dc:identifier>10.1504/IJMCDM.2012.045082</dc:identifier>
<dc:source>International Journal of Multicriteria Decision Making, Vol. 2, No. 1 (2012) pp. 47 - 73</dc:source>
<dc:creator>Abrahams Mwasha; Rupert G. Williams; Joseph Iwaro</dc:creator>
<dc:contributor>Department of Civil and Environmental Engineering, University of West Indies, St. Augustine Campus, St. Augustine, Trinidad and Tobago. &#39; Department of Civil and Environmental Engineering, University of West Indies, St. Augustine Campus, St. Augustine, Trinidad and Tobago. &#39; Department of Civil and Environmental Engineering, University of West Indies, St. Augustine Campus, St. Augustine, Trinidad and Tobago</dc:contributor>
<dc:subject>building envelopes</dc:subject>
<dc:subject>sustainable performance</dc:subject>
<dc:subject>energy efficiency</dc:subject>
<dc:subject>energy efficient designs</dc:subject>
<dc:subject>sustainability</dc:subject>
<dc:subject>residential buildings</dc:subject>
<dc:subject>energy consumption</dc:subject>
<dc:subject>integrated passive approaches</dc:subject>
<dc:subject>rebounding effects</dc:subject>
<dc:subject>performance assessment</dc:subject>
<dc:subject>performance modelling</dc:subject>
<dc:subject>performance indicators</dc:subject>
<dc:subject>building energy methods</dc:subject>
<dc:subject>modelling frameworks</dc:subject>
<dc:subject>Trinidad</dc:subject>
<dc:subject>Tobago</dc:subject>
<dc:subject>construction industry</dc:subject>
<dc:subject>multicriteria decision making</dc:subject>
<dc:subject>MCDM.</dc:subject>
<dc:date>2012-01-24T23:20:50-05:00</dc:date>
<prism:volume>2</prism:volume>
<prism:number>1</prism:number>
<prism:startingPage>47</prism:startingPage>
<prism:endingPage>73</prism:endingPage>
<prism:publicationDate>2012-01-24T23:20:50-05:00</prism:publicationDate>
</item>
<item rdf:about="http://dx.doi.org/10.1504/IJMCDM.2012.045084">
<title>Comparative evaluation of Indian technical institutions using fuzzy AHP and MOORA</title>
<link>http://www.inderscience.com/link.php?id=45084</link>
<description>Indian technical education is one of the largest educational systems in the world. Due to liberalisation, privatisation and globalisation, the demand of quality technical education is increasing rapidly to meet the challenges of a developing economy. In this context, the performance evaluation of Indian technical institutions has become a research issue. This paper is focused on the performance evaluation of seven premier Indian Technical Institutions under multi&#45;criteria environment. The aim of this study is to suggest a fuzzy multi&#45;criteria decision making &#40;FMCDM&#41; approach to evaluate the alternative options in respect to the stakeholders&#39; preference. Fuzzy analytic hierarchy process &#40;FAHP&#41; is applied to determine the relative significance coefficients of the evaluation criteria and multi&#45;objective optimisation on the basis of ratio analysis &#40;MOORA&#41; method is applied to rank the alternatives.</description>
<content:encoded><![CDATA[<p><a href="http://www.inderscience.com/link.php?id=45084"><b>Comparative evaluation of Indian technical institutions using fuzzy AHP and MOORA</b></A><br />Manik Chandra Das; Bijan Sarkar; Siddhartha Ray<br /><i>International Journal of Multicriteria Decision Making, Vol. 2, No. 1 (2012) pp. 74 - 93</i><br />Indian technical education is one of the largest educational systems in the world. Due to liberalisation, privatisation and globalisation, the demand of quality technical education is increasing rapidly to meet the challenges of a developing economy. In this context, the performance evaluation of Indian technical institutions has become a research issue. This paper is focused on the performance evaluation of seven premier Indian Technical Institutions under multi&#45;criteria environment. The aim of this study is to suggest a fuzzy multi&#45;criteria decision making &#40;FMCDM&#41; approach to evaluate the alternative options in respect to the stakeholders&#39; preference. Fuzzy analytic hierarchy process &#40;FAHP&#41; is applied to determine the relative significance coefficients of the evaluation criteria and multi&#45;objective optimisation on the basis of ratio analysis &#40;MOORA&#41; method is applied to rank the alternatives.</p>]]></content:encoded>
<dc:identifier>10.1504/IJMCDM.2012.045084</dc:identifier>
<dc:source>International Journal of Multicriteria Decision Making, Vol. 2, No. 1 (2012) pp. 74 - 93</dc:source>
<dc:creator>Manik Chandra Das; Bijan Sarkar; Siddhartha Ray</dc:creator>
<dc:contributor>Automobile Engineering Department, MCKV Institute of Engineering, Liluah&#45;711204, India. &#39; Production Engineering Department, Jadavpur University, Kolkata&#45;700032, India. &#39; Mechanical Engineering Department, National Institute of Technical Teachers&#39 Training &#38; Research, Kolkata&#45;700106, India</dc:contributor>
<dc:subject>fuzzy MCDM</dc:subject>
<dc:subject>fuzzy AHP</dc:subject>
<dc:subject>analytical hierarchy process</dc:subject>
<dc:subject>technical institutions</dc:subject>
<dc:subject>MOORA</dc:subject>
<dc:subject>multi&#45;objective optimisation</dc:subject>
<dc:subject>ratio analysis</dc:subject>
<dc:subject>rankings</dc:subject>
<dc:subject>India</dc:subject>
<dc:subject>comparative evaluation</dc:subject>
<dc:subject>higher education</dc:subject>
<dc:subject>universities</dc:subject>
<dc:subject>liberalisation</dc:subject>
<dc:subject>privatisation</dc:subject>
<dc:subject>globalisation</dc:subject>
<dc:subject>technical education</dc:subject>
<dc:subject>developing economies</dc:subject>
<dc:subject>performance evaluation</dc:subject>
<dc:subject>alternative options</dc:subject>
<dc:subject>stakeholder preferences</dc:subject>
<dc:subject>relative significance coefficients</dc:subject>
<dc:subject>evaluation criteria</dc:subject>
<dc:subject>multicriteria decision making</dc:subject>
<dc:subject>MCDM.</dc:subject>
<dc:date>2012-01-24T23:20:50-05:00</dc:date>
<prism:volume>2</prism:volume>
<prism:number>1</prism:number>
<prism:startingPage>74</prism:startingPage>
<prism:endingPage>93</prism:endingPage>
<prism:publicationDate>2012-01-24T23:20:50-05:00</prism:publicationDate>
</item>
<item rdf:about="http://dx.doi.org/10.1504/IJMCDM.2012.045085">
<title>Performance measurement of police traffic centres using fuzzy DEA&#45;based Malmquist productivity index</title>
<link>http://www.inderscience.com/link.php?id=45085</link>
<description>Decision&#45;making in real life problem, including performance measurement methodologies, usually involves large amount of uncertainty. In this paper, a formulation of performance measurement has been proposed using fuzzy input&#45;oriented DEA&#45;based Malmquist productivity index. The proposed procedure has been applied in measuring the productivity of a real case of Iranian police traffic centres. As the inputs and outputs of the case are assumed to be mixed with a considerable amount of uncertainty, linguistic terms parameterised by fuzzy sets have been supplied to represent the vagueness. The proposed methodology is straightforward and results are promising.</description>
<content:encoded><![CDATA[<p><a href="http://www.inderscience.com/link.php?id=45085"><b>Performance measurement of police traffic centres using fuzzy DEA&#45;based Malmquist productivity index</b></A><br />Kaveh Khalili&#45;Damghani; Farhad Hosseinzadeh Lotfi<br /><i>International Journal of Multicriteria Decision Making, Vol. 2, No. 1 (2012) pp. 94 - 110</i><br />Decision&#45;making in real life problem, including performance measurement methodologies, usually involves large amount of uncertainty. In this paper, a formulation of performance measurement has been proposed using fuzzy input&#45;oriented DEA&#45;based Malmquist productivity index. The proposed procedure has been applied in measuring the productivity of a real case of Iranian police traffic centres. As the inputs and outputs of the case are assumed to be mixed with a considerable amount of uncertainty, linguistic terms parameterised by fuzzy sets have been supplied to represent the vagueness. The proposed methodology is straightforward and results are promising.</p>]]></content:encoded>
<dc:identifier>10.1504/IJMCDM.2012.045085</dc:identifier>
<dc:source>International Journal of Multicriteria Decision Making, Vol. 2, No. 1 (2012) pp. 94 - 110</dc:source>
<dc:creator>Kaveh Khalili&#45;Damghani; Farhad Hosseinzadeh Lotfi</dc:creator>
<dc:contributor>Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Postal code 1651893181, Tehran, Iran. &#39; Department of Mathematics, Science and Research Branch, Islamic Azad University, Postal code 14778, Tehran, Iran</dc:contributor>
<dc:subject>Sten Malmquist</dc:subject>
<dc:subject>productivity index</dc:subject>
<dc:subject>Malmquist DEA</dc:subject>
<dc:subject>data envelopment analysis</dc:subject>
<dc:subject>performance measurement</dc:subject>
<dc:subject>uncertainty</dc:subject>
<dc:subject>fuzzy sets</dc:subject>
<dc:subject>traffic police</dc:subject>
<dc:subject>police centres</dc:subject>
<dc:subject>Iran</dc:subject>
<dc:subject>linguistic terms</dc:subject>
<dc:subject>parameterisation</dc:subject>
<dc:subject>vagueness</dc:subject>
<dc:subject>multicriteria decision making</dc:subject>
<dc:subject>MCDM.</dc:subject>
<dc:date>2012-01-24T23:20:50-05:00</dc:date>
<prism:volume>2</prism:volume>
<prism:number>1</prism:number>
<prism:startingPage>94</prism:startingPage>
<prism:endingPage>110</prism:endingPage>
<prism:publicationDate>2012-01-24T23:20:50-05:00</prism:publicationDate>
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