[{"user_id":"51811","department":[{"_id":"277"}],"_id":"53205","language":[{"iso":"eng"}],"article_number":"111098","keyword":["Software"],"type":"journal_article","publication":"Applied Soft Computing","status":"public","date_created":"2024-04-04T12:00:22Z","author":[{"last_name":"Tavana","full_name":"Tavana, Madjid","id":"31858","first_name":"Madjid"},{"last_name":"Sorooshian","full_name":"Sorooshian, Shahryar","first_name":"Shahryar"}],"volume":150,"date_updated":"2024-04-15T13:07:49Z","publisher":"Elsevier BV","doi":"10.1016/j.asoc.2023.111098","title":"A systematic review of the soft computing methods shaping the future of the metaverse","publication_status":"published","publication_identifier":{"issn":["1568-4946"]},"citation":{"ama":"Tavana M, Sorooshian S. A systematic review of the soft computing methods shaping the future of the metaverse. <i>Applied Soft Computing</i>. 2024;150. doi:<a href=\"https://doi.org/10.1016/j.asoc.2023.111098\">10.1016/j.asoc.2023.111098</a>","chicago":"Tavana, Madjid, and Shahryar Sorooshian. “A Systematic Review of the Soft Computing Methods Shaping the Future of the Metaverse.” <i>Applied Soft Computing</i> 150 (2024). <a href=\"https://doi.org/10.1016/j.asoc.2023.111098\">https://doi.org/10.1016/j.asoc.2023.111098</a>.","ieee":"M. Tavana and S. Sorooshian, “A systematic review of the soft computing methods shaping the future of the metaverse,” <i>Applied Soft Computing</i>, vol. 150, Art. no. 111098, 2024, doi: <a href=\"https://doi.org/10.1016/j.asoc.2023.111098\">10.1016/j.asoc.2023.111098</a>.","apa":"Tavana, M., &#38; Sorooshian, S. (2024). A systematic review of the soft computing methods shaping the future of the metaverse. <i>Applied Soft Computing</i>, <i>150</i>, Article 111098. <a href=\"https://doi.org/10.1016/j.asoc.2023.111098\">https://doi.org/10.1016/j.asoc.2023.111098</a>","bibtex":"@article{Tavana_Sorooshian_2024, title={A systematic review of the soft computing methods shaping the future of the metaverse}, volume={150}, DOI={<a href=\"https://doi.org/10.1016/j.asoc.2023.111098\">10.1016/j.asoc.2023.111098</a>}, number={111098}, journal={Applied Soft Computing}, publisher={Elsevier BV}, author={Tavana, Madjid and Sorooshian, Shahryar}, year={2024} }","mla":"Tavana, Madjid, and Shahryar Sorooshian. “A Systematic Review of the Soft Computing Methods Shaping the Future of the Metaverse.” <i>Applied Soft Computing</i>, vol. 150, 111098, Elsevier BV, 2024, doi:<a href=\"https://doi.org/10.1016/j.asoc.2023.111098\">10.1016/j.asoc.2023.111098</a>.","short":"M. Tavana, S. Sorooshian, Applied Soft Computing 150 (2024)."},"intvolume":"       150","year":"2024"},{"date_updated":"2024-04-15T13:07:05Z","publisher":"Elsevier BV","author":[{"first_name":"Madjid","id":"31858","full_name":"Tavana, Madjid","last_name":"Tavana"},{"first_name":"Mohammad Saeed","last_name":"Heidary","full_name":"Heidary, Mohammad Saeed"},{"full_name":"Mina, Hassan","last_name":"Mina","first_name":"Hassan"}],"date_created":"2024-04-04T13:37:53Z","volume":145,"title":"A fuzzy preference programming and weighted influence non-linear gauge system for mission architecture assessment at NASA","doi":"10.1016/j.asoc.2023.110572","publication_status":"published","publication_identifier":{"issn":["1568-4946"]},"year":"2023","citation":{"ieee":"M. Tavana, M. S. Heidary, and H. Mina, “A fuzzy preference programming and weighted influence non-linear gauge system for mission architecture assessment at NASA,” <i>Applied Soft Computing</i>, vol. 145, Art. no. 110572, 2023, doi: <a href=\"https://doi.org/10.1016/j.asoc.2023.110572\">10.1016/j.asoc.2023.110572</a>.","chicago":"Tavana, Madjid, Mohammad Saeed Heidary, and Hassan Mina. “A Fuzzy Preference Programming and Weighted Influence Non-Linear Gauge System for Mission Architecture Assessment at NASA.” <i>Applied Soft Computing</i> 145 (2023). <a href=\"https://doi.org/10.1016/j.asoc.2023.110572\">https://doi.org/10.1016/j.asoc.2023.110572</a>.","ama":"Tavana M, Heidary MS, Mina H. A fuzzy preference programming and weighted influence non-linear gauge system for mission architecture assessment at NASA. <i>Applied Soft Computing</i>. 2023;145. doi:<a href=\"https://doi.org/10.1016/j.asoc.2023.110572\">10.1016/j.asoc.2023.110572</a>","apa":"Tavana, M., Heidary, M. S., &#38; Mina, H. (2023). A fuzzy preference programming and weighted influence non-linear gauge system for mission architecture assessment at NASA. <i>Applied Soft Computing</i>, <i>145</i>, Article 110572. <a href=\"https://doi.org/10.1016/j.asoc.2023.110572\">https://doi.org/10.1016/j.asoc.2023.110572</a>","bibtex":"@article{Tavana_Heidary_Mina_2023, title={A fuzzy preference programming and weighted influence non-linear gauge system for mission architecture assessment at NASA}, volume={145}, DOI={<a href=\"https://doi.org/10.1016/j.asoc.2023.110572\">10.1016/j.asoc.2023.110572</a>}, number={110572}, journal={Applied Soft Computing}, publisher={Elsevier BV}, author={Tavana, Madjid and Heidary, Mohammad Saeed and Mina, Hassan}, year={2023} }","mla":"Tavana, Madjid, et al. “A Fuzzy Preference Programming and Weighted Influence Non-Linear Gauge System for Mission Architecture Assessment at NASA.” <i>Applied Soft Computing</i>, vol. 145, 110572, Elsevier BV, 2023, doi:<a href=\"https://doi.org/10.1016/j.asoc.2023.110572\">10.1016/j.asoc.2023.110572</a>.","short":"M. Tavana, M.S. Heidary, H. Mina, Applied Soft Computing 145 (2023)."},"intvolume":"       145","_id":"53215","user_id":"51811","department":[{"_id":"277"}],"article_number":"110572","keyword":["Software"],"language":[{"iso":"eng"}],"type":"journal_article","publication":"Applied Soft Computing","status":"public"},{"date_updated":"2023-12-13T10:52:17Z","date_created":"2023-11-14T15:58:53Z","author":[{"last_name":"Bossek","orcid":"0000-0002-4121-4668","full_name":"Bossek, Jakob","id":"102979","first_name":"Jakob"},{"first_name":"Pascal","full_name":"Kerschke, Pascal","last_name":"Kerschke"},{"last_name":"Trautmann","full_name":"Trautmann, Heike","first_name":"Heike"}],"volume":88,"title":"A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms","doi":"10.1016/j.asoc.2019.105901","publication_identifier":{"issn":["1568-4946"]},"issue":"C","year":"2020","citation":{"ama":"Bossek J, Kerschke P, Trautmann H. A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms. <i>Applied Soft Computing</i>. 2020;88(C). doi:<a href=\"https://doi.org/10.1016/j.asoc.2019.105901\">10.1016/j.asoc.2019.105901</a>","chicago":"Bossek, Jakob, Pascal Kerschke, and Heike Trautmann. “A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms.” <i>Applied Soft Computing</i> 88, no. C (2020). <a href=\"https://doi.org/10.1016/j.asoc.2019.105901\">https://doi.org/10.1016/j.asoc.2019.105901</a>.","ieee":"J. Bossek, P. Kerschke, and H. Trautmann, “A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms,” <i>Applied Soft Computing</i>, vol. 88, no. C, 2020, doi: <a href=\"https://doi.org/10.1016/j.asoc.2019.105901\">10.1016/j.asoc.2019.105901</a>.","apa":"Bossek, J., Kerschke, P., &#38; Trautmann, H. (2020). A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms. <i>Applied Soft Computing</i>, <i>88</i>(C). <a href=\"https://doi.org/10.1016/j.asoc.2019.105901\">https://doi.org/10.1016/j.asoc.2019.105901</a>","mla":"Bossek, Jakob, et al. “A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms.” <i>Applied Soft Computing</i>, vol. 88, no. C, 2020, doi:<a href=\"https://doi.org/10.1016/j.asoc.2019.105901\">10.1016/j.asoc.2019.105901</a>.","bibtex":"@article{Bossek_Kerschke_Trautmann_2020, title={A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms}, volume={88}, DOI={<a href=\"https://doi.org/10.1016/j.asoc.2019.105901\">10.1016/j.asoc.2019.105901</a>}, number={C}, journal={Applied Soft Computing}, author={Bossek, Jakob and Kerschke, Pascal and Trautmann, Heike}, year={2020} }","short":"J. Bossek, P. Kerschke, H. Trautmann, Applied Soft Computing 88 (2020)."},"intvolume":"        88","_id":"48848","user_id":"102979","department":[{"_id":"819"}],"keyword":["Algorithm selection","Combinatorial optimization","Multi-objective optimization","Performance measurement","Traveling Salesperson Problem"],"language":[{"iso":"eng"}],"type":"journal_article","publication":"Applied Soft Computing","abstract":[{"lang":"eng","text":"We build upon a recently proposed multi-objective view onto performance measurement of single-objective stochastic solvers. The trade-off between the fraction of failed runs and the mean runtime of successful runs \\textendash both to be minimized \\textendash is directly analyzed based on a study on algorithm selection of inexact state-of-the-art solvers for the famous Traveling Salesperson Problem (TSP). Moreover, we adopt the hypervolume indicator (HV) commonly used in multi-objective optimization for simultaneously assessing both conflicting objectives and investigate relations to commonly used performance indicators, both theoretically and empirically. Next to Penalized Average Runtime (PAR) and Penalized Quantile Runtime (PQR), the HV measure is used as a core concept within the construction of per-instance algorithm selection models offering interesting insights into complementary behavior of inexact TSP solvers. \\textbullet The multi-objective perspective is naturally generalizable to multiple objectives. \\textbullet Proof of relationship between HV and the PAR in the considered bi-objective space. \\textbullet New insights into complementary behavior of stochastic optimization algorithms."}],"status":"public"},{"status":"public","abstract":[{"lang":"eng","text":"We build upon a recently proposed multi-objective view onto performance measurement of single-objective stochastic solvers. The trade-off between the fraction of failed runs and the mean runtime of successful runs – both to be minimized – is directly analyzed based on a study on algorithm selection of inexact state-of-the-art solvers for the famous Traveling Salesperson Problem (TSP). Moreover, we adopt the hypervolume indicator (HV) commonly used in multi-objective optimization for simultaneously assessing both conflicting objectives and investigate relations to commonly used performance indicators, both theoretically and empirically. Next to Penalized Average Runtime (PAR) and Penalized Quantile Runtime (PQR), the HV measure is used as a core concept within the construction of per-instance algorithm selection models offering interesting insights into complementary behavior of inexact TSP solvers."}],"type":"journal_article","publication":"Applied Soft Computing","language":[{"iso":"eng"}],"keyword":["Algorithm selection","Multi-objective optimization","Performance measurement","Combinatorial optimization","Traveling Salesperson Problem"],"user_id":"15504","department":[{"_id":"34"},{"_id":"819"}],"_id":"46334","citation":{"ama":"Bossek J, Kerschke P, Trautmann H. A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms. <i>Applied Soft Computing</i>. 2020;88:105901. doi:<a href=\"https://doi.org/10.1016/j.asoc.2019.105901\">https://doi.org/10.1016/j.asoc.2019.105901</a>","ieee":"J. Bossek, P. Kerschke, and H. Trautmann, “A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms,” <i>Applied Soft Computing</i>, vol. 88, p. 105901, 2020, doi: <a href=\"https://doi.org/10.1016/j.asoc.2019.105901\">https://doi.org/10.1016/j.asoc.2019.105901</a>.","chicago":"Bossek, Jakob, Pascal Kerschke, and Heike Trautmann. “A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms.” <i>Applied Soft Computing</i> 88 (2020): 105901. <a href=\"https://doi.org/10.1016/j.asoc.2019.105901\">https://doi.org/10.1016/j.asoc.2019.105901</a>.","short":"J. Bossek, P. Kerschke, H. Trautmann, Applied Soft Computing 88 (2020) 105901.","mla":"Bossek, Jakob, et al. “A Multi-Objective Perspective on Performance Assessment and Automated Selection of Single-Objective Optimization Algorithms.” <i>Applied Soft Computing</i>, vol. 88, 2020, p. 105901, doi:<a href=\"https://doi.org/10.1016/j.asoc.2019.105901\">https://doi.org/10.1016/j.asoc.2019.105901</a>.","bibtex":"@article{Bossek_Kerschke_Trautmann_2020, title={A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms}, volume={88}, DOI={<a href=\"https://doi.org/10.1016/j.asoc.2019.105901\">https://doi.org/10.1016/j.asoc.2019.105901</a>}, journal={Applied Soft Computing}, author={Bossek, Jakob and Kerschke, Pascal and Trautmann, Heike}, year={2020}, pages={105901} }","apa":"Bossek, J., Kerschke, P., &#38; Trautmann, H. (2020). A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms. <i>Applied Soft Computing</i>, <i>88</i>, 105901. <a href=\"https://doi.org/10.1016/j.asoc.2019.105901\">https://doi.org/10.1016/j.asoc.2019.105901</a>"},"intvolume":"        88","page":"105901","year":"2020","publication_identifier":{"issn":["1568-4946"]},"doi":"https://doi.org/10.1016/j.asoc.2019.105901","title":"A multi-objective perspective on performance assessment and automated selection of single-objective optimization algorithms","date_created":"2023-08-04T07:42:26Z","author":[{"orcid":"0000-0002-4121-4668","last_name":"Bossek","id":"102979","full_name":"Bossek, Jakob","first_name":"Jakob"},{"last_name":"Kerschke","full_name":"Kerschke, Pascal","first_name":"Pascal"},{"first_name":"Heike","full_name":"Trautmann, Heike","id":"100740","orcid":"0000-0002-9788-8282","last_name":"Trautmann"}],"volume":88,"date_updated":"2024-06-10T12:00:46Z"},{"year":"2018","intvolume":"        71","page":"715-727","citation":{"ama":"Sodenkamp MA, Tavana M, Di Caprio D. An aggregation method for solving group multi-criteria decision-making problems with single-valued neutrosophic sets. <i>Applied Soft Computing</i>. 2018;71:715-727. doi:<a href=\"https://doi.org/10.1016/j.asoc.2018.07.020\">10.1016/j.asoc.2018.07.020</a>","ieee":"M. A. Sodenkamp, M. Tavana, and D. Di Caprio, “An aggregation method for solving group multi-criteria decision-making problems with single-valued neutrosophic sets,” <i>Applied Soft Computing</i>, vol. 71, pp. 715–727, 2018, doi: <a href=\"https://doi.org/10.1016/j.asoc.2018.07.020\">10.1016/j.asoc.2018.07.020</a>.","chicago":"Sodenkamp, Mariya A., Madjid Tavana, and Debora Di Caprio. “An Aggregation Method for Solving Group Multi-Criteria Decision-Making Problems with Single-Valued Neutrosophic Sets.” <i>Applied Soft Computing</i> 71 (2018): 715–27. <a href=\"https://doi.org/10.1016/j.asoc.2018.07.020\">https://doi.org/10.1016/j.asoc.2018.07.020</a>.","apa":"Sodenkamp, M. A., Tavana, M., &#38; Di Caprio, D. (2018). An aggregation method for solving group multi-criteria decision-making problems with single-valued neutrosophic sets. <i>Applied Soft Computing</i>, <i>71</i>, 715–727. <a href=\"https://doi.org/10.1016/j.asoc.2018.07.020\">https://doi.org/10.1016/j.asoc.2018.07.020</a>","short":"M.A. Sodenkamp, M. Tavana, D. Di Caprio, Applied Soft Computing 71 (2018) 715–727.","mla":"Sodenkamp, Mariya A., et al. “An Aggregation Method for Solving Group Multi-Criteria Decision-Making Problems with Single-Valued Neutrosophic Sets.” <i>Applied Soft Computing</i>, vol. 71, Elsevier BV, 2018, pp. 715–27, doi:<a href=\"https://doi.org/10.1016/j.asoc.2018.07.020\">10.1016/j.asoc.2018.07.020</a>.","bibtex":"@article{Sodenkamp_Tavana_Di Caprio_2018, title={An aggregation method for solving group multi-criteria decision-making problems with single-valued neutrosophic sets}, volume={71}, DOI={<a href=\"https://doi.org/10.1016/j.asoc.2018.07.020\">10.1016/j.asoc.2018.07.020</a>}, journal={Applied Soft Computing}, publisher={Elsevier BV}, author={Sodenkamp, Mariya A. and Tavana, Madjid and Di Caprio, Debora}, year={2018}, pages={715–727} }"},"publication_identifier":{"issn":["1568-4946"]},"publication_status":"published","title":"An aggregation method for solving group multi-criteria decision-making problems with single-valued neutrosophic sets","doi":"10.1016/j.asoc.2018.07.020","publisher":"Elsevier BV","date_updated":"2024-05-06T16:58:41Z","volume":71,"author":[{"full_name":"Sodenkamp, Mariya A.","last_name":"Sodenkamp","first_name":"Mariya A."},{"first_name":"Madjid","id":"31858","full_name":"Tavana, Madjid","last_name":"Tavana"},{"last_name":"Di Caprio","full_name":"Di Caprio, Debora","first_name":"Debora"}],"date_created":"2024-05-06T16:52:37Z","status":"public","publication":"Applied Soft Computing","type":"journal_article","language":[{"iso":"eng"}],"_id":"54004","department":[{"_id":"277"}],"user_id":"51811"},{"status":"public","publication":"Applied Soft Computing","type":"journal_article","language":[{"iso":"eng"}],"_id":"54172","department":[{"_id":"277"}],"user_id":"51811","year":"2016","intvolume":"        43","page":"57-72","citation":{"chicago":"Mousavi, Seyed Mohsen, Javad Sadeghi, Seyed Taghi Akhavan Niaki, and Madjid Tavana. “A Bi-Objective Inventory Optimization Model under Inflation and Discount Using Tuned Pareto-Based Algorithms: NSGA-II, NRGA, and MOPSO.” <i>Applied Soft Computing</i> 43 (2016): 57–72. <a href=\"https://doi.org/10.1016/j.asoc.2016.02.014\">https://doi.org/10.1016/j.asoc.2016.02.014</a>.","ieee":"S. M. Mousavi, J. Sadeghi, S. T. A. Niaki, and M. Tavana, “A bi-objective inventory optimization model under inflation and discount using tuned Pareto-based algorithms: NSGA-II, NRGA, and MOPSO,” <i>Applied Soft Computing</i>, vol. 43, pp. 57–72, 2016, doi: <a href=\"https://doi.org/10.1016/j.asoc.2016.02.014\">10.1016/j.asoc.2016.02.014</a>.","ama":"Mousavi SM, Sadeghi J, Niaki STA, Tavana M. A bi-objective inventory optimization model under inflation and discount using tuned Pareto-based algorithms: NSGA-II, NRGA, and MOPSO. <i>Applied Soft Computing</i>. 2016;43:57-72. doi:<a href=\"https://doi.org/10.1016/j.asoc.2016.02.014\">10.1016/j.asoc.2016.02.014</a>","short":"S.M. Mousavi, J. Sadeghi, S.T.A. Niaki, M. Tavana, Applied Soft Computing 43 (2016) 57–72.","mla":"Mousavi, Seyed Mohsen, et al. “A Bi-Objective Inventory Optimization Model under Inflation and Discount Using Tuned Pareto-Based Algorithms: NSGA-II, NRGA, and MOPSO.” <i>Applied Soft Computing</i>, vol. 43, Elsevier BV, 2016, pp. 57–72, doi:<a href=\"https://doi.org/10.1016/j.asoc.2016.02.014\">10.1016/j.asoc.2016.02.014</a>.","bibtex":"@article{Mousavi_Sadeghi_Niaki_Tavana_2016, title={A bi-objective inventory optimization model under inflation and discount using tuned Pareto-based algorithms: NSGA-II, NRGA, and MOPSO}, volume={43}, DOI={<a href=\"https://doi.org/10.1016/j.asoc.2016.02.014\">10.1016/j.asoc.2016.02.014</a>}, journal={Applied Soft Computing}, publisher={Elsevier BV}, author={Mousavi, Seyed Mohsen and Sadeghi, Javad and Niaki, Seyed Taghi Akhavan and Tavana, Madjid}, year={2016}, pages={57–72} }","apa":"Mousavi, S. M., Sadeghi, J., Niaki, S. T. A., &#38; Tavana, M. (2016). A bi-objective inventory optimization model under inflation and discount using tuned Pareto-based algorithms: NSGA-II, NRGA, and MOPSO. <i>Applied Soft Computing</i>, <i>43</i>, 57–72. <a href=\"https://doi.org/10.1016/j.asoc.2016.02.014\">https://doi.org/10.1016/j.asoc.2016.02.014</a>"},"publication_identifier":{"issn":["1568-4946"]},"publication_status":"published","title":"A bi-objective inventory optimization model under inflation and discount using tuned Pareto-based algorithms: NSGA-II, NRGA, and MOPSO","doi":"10.1016/j.asoc.2016.02.014","date_updated":"2024-05-11T11:52:02Z","publisher":"Elsevier BV","volume":43,"date_created":"2024-05-11T11:39:47Z","author":[{"first_name":"Seyed Mohsen","last_name":"Mousavi","full_name":"Mousavi, Seyed Mohsen"},{"first_name":"Javad","full_name":"Sadeghi, Javad","last_name":"Sadeghi"},{"last_name":"Niaki","full_name":"Niaki, Seyed Taghi Akhavan","first_name":"Seyed Taghi Akhavan"},{"last_name":"Tavana","full_name":"Tavana, Madjid","id":"31858","first_name":"Madjid"}]},{"_id":"54170","user_id":"51811","department":[{"_id":"277"}],"language":[{"iso":"eng"}],"type":"journal_article","publication":"Applied Soft Computing","status":"public","publisher":"Elsevier BV","date_updated":"2024-05-11T11:52:08Z","date_created":"2024-05-11T11:37:58Z","author":[{"full_name":"Khanjani Shiraz, Rashed","last_name":"Khanjani Shiraz","first_name":"Rashed"},{"first_name":"Hirofumi","full_name":"Fukuyama, Hirofumi","last_name":"Fukuyama"},{"id":"31858","full_name":"Tavana, Madjid","last_name":"Tavana","first_name":"Madjid"},{"first_name":"Debora","full_name":"Di Caprio, Debora","last_name":"Di Caprio"}],"volume":46,"title":"An integrated data envelopment analysis and free disposal hull framework for cost-efficiency measurement using rough sets","doi":"10.1016/j.asoc.2016.04.043","publication_status":"published","publication_identifier":{"issn":["1568-4946"]},"year":"2016","citation":{"chicago":"Khanjani Shiraz, Rashed, Hirofumi Fukuyama, Madjid Tavana, and Debora Di Caprio. “An Integrated Data Envelopment Analysis and Free Disposal Hull Framework for Cost-Efficiency Measurement Using Rough Sets.” <i>Applied Soft Computing</i> 46 (2016): 204–19. <a href=\"https://doi.org/10.1016/j.asoc.2016.04.043\">https://doi.org/10.1016/j.asoc.2016.04.043</a>.","ieee":"R. Khanjani Shiraz, H. Fukuyama, M. Tavana, and D. Di Caprio, “An integrated data envelopment analysis and free disposal hull framework for cost-efficiency measurement using rough sets,” <i>Applied Soft Computing</i>, vol. 46, pp. 204–219, 2016, doi: <a href=\"https://doi.org/10.1016/j.asoc.2016.04.043\">10.1016/j.asoc.2016.04.043</a>.","ama":"Khanjani Shiraz R, Fukuyama H, Tavana M, Di Caprio D. An integrated data envelopment analysis and free disposal hull framework for cost-efficiency measurement using rough sets. <i>Applied Soft Computing</i>. 2016;46:204-219. doi:<a href=\"https://doi.org/10.1016/j.asoc.2016.04.043\">10.1016/j.asoc.2016.04.043</a>","apa":"Khanjani Shiraz, R., Fukuyama, H., Tavana, M., &#38; Di Caprio, D. (2016). An integrated data envelopment analysis and free disposal hull framework for cost-efficiency measurement using rough sets. <i>Applied Soft Computing</i>, <i>46</i>, 204–219. <a href=\"https://doi.org/10.1016/j.asoc.2016.04.043\">https://doi.org/10.1016/j.asoc.2016.04.043</a>","mla":"Khanjani Shiraz, Rashed, et al. “An Integrated Data Envelopment Analysis and Free Disposal Hull Framework for Cost-Efficiency Measurement Using Rough Sets.” <i>Applied Soft Computing</i>, vol. 46, Elsevier BV, 2016, pp. 204–19, doi:<a href=\"https://doi.org/10.1016/j.asoc.2016.04.043\">10.1016/j.asoc.2016.04.043</a>.","bibtex":"@article{Khanjani Shiraz_Fukuyama_Tavana_Di Caprio_2016, title={An integrated data envelopment analysis and free disposal hull framework for cost-efficiency measurement using rough sets}, volume={46}, DOI={<a href=\"https://doi.org/10.1016/j.asoc.2016.04.043\">10.1016/j.asoc.2016.04.043</a>}, journal={Applied Soft Computing}, publisher={Elsevier BV}, author={Khanjani Shiraz, Rashed and Fukuyama, Hirofumi and Tavana, Madjid and Di Caprio, Debora}, year={2016}, pages={204–219} }","short":"R. Khanjani Shiraz, H. Fukuyama, M. Tavana, D. Di Caprio, Applied Soft Computing 46 (2016) 204–219."},"page":"204-219","intvolume":"        46"},{"title":"A comprehensive fuzzy DEA model for emerging market assessment and selection decisions","doi":"10.1016/j.asoc.2015.09.048","date_updated":"2024-05-11T11:52:19Z","publisher":"Elsevier BV","author":[{"first_name":"Kaveh","full_name":"Khalili-Damghani, Kaveh","last_name":"Khalili-Damghani"},{"first_name":"Madjid","last_name":"Tavana","id":"31858","full_name":"Tavana, Madjid"},{"first_name":"Francisco J.","last_name":"Santos-Arteaga","full_name":"Santos-Arteaga, Francisco J."}],"date_created":"2024-05-11T11:23:53Z","volume":38,"year":"2016","citation":{"ama":"Khalili-Damghani K, Tavana M, Santos-Arteaga FJ. 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A comprehensive fuzzy DEA model for emerging market assessment and selection decisions. <i>Applied Soft Computing</i>, <i>38</i>, 676–702. <a href=\"https://doi.org/10.1016/j.asoc.2015.09.048\">https://doi.org/10.1016/j.asoc.2015.09.048</a>","bibtex":"@article{Khalili-Damghani_Tavana_Santos-Arteaga_2016, title={A comprehensive fuzzy DEA model for emerging market assessment and selection decisions}, volume={38}, DOI={<a href=\"https://doi.org/10.1016/j.asoc.2015.09.048\">10.1016/j.asoc.2015.09.048</a>}, journal={Applied Soft Computing}, publisher={Elsevier BV}, author={Khalili-Damghani, Kaveh and Tavana, Madjid and Santos-Arteaga, Francisco J.}, year={2016}, pages={676–702} }","mla":"Khalili-Damghani, Kaveh, et al. “A Comprehensive Fuzzy DEA Model for Emerging Market Assessment and Selection Decisions.” <i>Applied Soft Computing</i>, vol. 38, Elsevier BV, 2016, pp. 676–702, doi:<a href=\"https://doi.org/10.1016/j.asoc.2015.09.048\">10.1016/j.asoc.2015.09.048</a>.","short":"K. 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