The Experts below are selected from a list of 753774 Experts worldwide ranked by ideXlab platform
Abolfazl Kazemi - One of the best experts on this subject based on the ideXlab platform.
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an extended compromise Ratio Method for fuzzy group multi attribute decision making with swot analysis
Applied Soft Computing, 2013Co-Authors: Adel Hatamimarbini, Madjid Tavana, Vahid Hajipour, Fatemeh Kangi, Abolfazl KazemiAbstract:The technique for order preference by similarity to ideal solution (TOPSIS) is a well-known multi-attribute decision making (MADM) Method that is used to identify the most attractive alternative solution among a finite set of alternatives based on the simultaneous minimization of the distance from an ideal solution (IS) and the maximization of the distance from the nadir solution (NS). We propose an alternative compromise Ratio Method (CRM) using an efficient and powerful distance measure for solving the group MADM problems. In the proposed CRM, similar to TOPSIS, the chosen alternative should be simultaneously as close as possible to the IS and as far away as possible from the NS. The conventional MADM problems require well-defined and precise data; however, the values associated with the parameters in the real-world are often imprecise, vague, uncertain or incomplete. Fuzzy sets provide a powerful tool for dealing with the ambiguous data. We capture the decision makers’ (DMs’) judgments with linguistic variables and represent their importance weights with fuzzy sets. The fuzzy group MADM (FGMADM) Method proposed in this study improves the usability of the CRM. We integrate the FGMADM Method into a strengths, weaknesses, opportunities and threats (SWOT) analysis framework to show the applicability of the proposed Method in a solar panel manufacturing firm in Canada.
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an extended compromise Ratio Method for fuzzy multi attribute group decision making problem with swot analysis
Social Science Research Network, 2013Co-Authors: Adel Hatamimarbini, Madjid Tavana, Vahid Hajipour, Fatemeh Kangi, Abolfazl KazemiAbstract:The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is a well-known Multi-Attribute Decision Making (MADM) Method that is used to identify the most attractive alternative solution among a finite set of alternatives based on the simultaneous minimization of the distance from an ideal solution (IS) and the maximization of the distance from the nadir solution (NS). We propose an alternative Compromise Ratio Method (CRM) using an efficient and powerful distance measure for solving the group MADM problems. In the proposed CRM, similar to TOPSIS, the chosen alternative should be simultaneously as close as possible to the IS and as far away as possible from the NS. The conventional MADM problems require well-defined and precise data; however, the values associated with the parameters in the real-world are often imprecise, vague, uncertain or incomplete. Fuzzy sets provide a powerful tool for dealing with the ambiguous data. We capture the decision makers’ (DMs’) judgments with linguistic variables and represent their importance weights with fuzzy sets. The fuzzy group MADM (FGMADM) Method proposed in this study improves the usability of the CRM. We integrate the FGMADM Method into a Strengths, Weaknesses, Opportunities and Threats (SWOT) analysis framework to show the applicability of the proposed Method in a solar panel manufacturing firm in Canada.
Farah Yasmeen - One of the best experts on this subject based on the ideXlab platform.
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coherent mortality forecasting the product Ratio Method with functional time series models
Demography, 2013Co-Authors: Rob J Hyndman, Heather Booth, Farah YasmeenAbstract:When independence is assumed, forecasts of mortality for subpopulations are almost always divergent in the long term. We propose a Method for coherent forecasting of mortality rates for two or more subpopulations, based on functional principal components models of simple and interpretable functions of rates. The product-Ratio functional forecasting Method models and forecasts the geometric mean of subpopulation rates and the Ratio of subpopulation rates to product rates. Coherence is imposed by constraining the forecast Ratio function through stationary time series models. The Method is applied to sex-specific data for Sweden and state-specific data for Australia. Based on out-of-sample forecasts, the coherent forecasts are at least as accurate in overall terms as comparable independent forecasts, and forecast accuracy is homogenized across subpopulations.
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coherent mortality forecasting the product Ratio Method with functional time series models
Research Papers in Economics, 2011Co-Authors: Rob J Hyndman, Heather Booth, Farah YasmeenAbstract:When independence is assumed, forecasts of mortality for subpopulations are almost always divergent in the long term. We propose a Method for non-divergent or coherent forecasting of mortality rates for two or more subpopulations, based on functional principal components models of simple and interpretable functions of rates. The product-Ratio functional forecasting Method models and forecasts the geometric mean of subpopulation rates and the Ratio of subpopulation rates to product rates. Coherence is imposed by constraining the forecast Ratio function through stationary time series models. The Method is applied to sex-specific data for Sweden and state-specific data for Australia. Based on out-of-sample forecasts, the coherent forecasts are at least as accurate in overall terms as comparable independent forecasts, and forecast accuracy is homogenised across subpopulations.
Adel Hatamimarbini - One of the best experts on this subject based on the ideXlab platform.
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an extended compromise Ratio Method for fuzzy group multi attribute decision making with swot analysis
Applied Soft Computing, 2013Co-Authors: Adel Hatamimarbini, Madjid Tavana, Vahid Hajipour, Fatemeh Kangi, Abolfazl KazemiAbstract:The technique for order preference by similarity to ideal solution (TOPSIS) is a well-known multi-attribute decision making (MADM) Method that is used to identify the most attractive alternative solution among a finite set of alternatives based on the simultaneous minimization of the distance from an ideal solution (IS) and the maximization of the distance from the nadir solution (NS). We propose an alternative compromise Ratio Method (CRM) using an efficient and powerful distance measure for solving the group MADM problems. In the proposed CRM, similar to TOPSIS, the chosen alternative should be simultaneously as close as possible to the IS and as far away as possible from the NS. The conventional MADM problems require well-defined and precise data; however, the values associated with the parameters in the real-world are often imprecise, vague, uncertain or incomplete. Fuzzy sets provide a powerful tool for dealing with the ambiguous data. We capture the decision makers’ (DMs’) judgments with linguistic variables and represent their importance weights with fuzzy sets. The fuzzy group MADM (FGMADM) Method proposed in this study improves the usability of the CRM. We integrate the FGMADM Method into a strengths, weaknesses, opportunities and threats (SWOT) analysis framework to show the applicability of the proposed Method in a solar panel manufacturing firm in Canada.
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an extended compromise Ratio Method for fuzzy multi attribute group decision making problem with swot analysis
Social Science Research Network, 2013Co-Authors: Adel Hatamimarbini, Madjid Tavana, Vahid Hajipour, Fatemeh Kangi, Abolfazl KazemiAbstract:The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is a well-known Multi-Attribute Decision Making (MADM) Method that is used to identify the most attractive alternative solution among a finite set of alternatives based on the simultaneous minimization of the distance from an ideal solution (IS) and the maximization of the distance from the nadir solution (NS). We propose an alternative Compromise Ratio Method (CRM) using an efficient and powerful distance measure for solving the group MADM problems. In the proposed CRM, similar to TOPSIS, the chosen alternative should be simultaneously as close as possible to the IS and as far away as possible from the NS. The conventional MADM problems require well-defined and precise data; however, the values associated with the parameters in the real-world are often imprecise, vague, uncertain or incomplete. Fuzzy sets provide a powerful tool for dealing with the ambiguous data. We capture the decision makers’ (DMs’) judgments with linguistic variables and represent their importance weights with fuzzy sets. The fuzzy group MADM (FGMADM) Method proposed in this study improves the usability of the CRM. We integrate the FGMADM Method into a Strengths, Weaknesses, Opportunities and Threats (SWOT) analysis framework to show the applicability of the proposed Method in a solar panel manufacturing firm in Canada.
Rob J Hyndman - One of the best experts on this subject based on the ideXlab platform.
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coherent mortality forecasting the product Ratio Method with functional time series models
Demography, 2013Co-Authors: Rob J Hyndman, Heather Booth, Farah YasmeenAbstract:When independence is assumed, forecasts of mortality for subpopulations are almost always divergent in the long term. We propose a Method for coherent forecasting of mortality rates for two or more subpopulations, based on functional principal components models of simple and interpretable functions of rates. The product-Ratio functional forecasting Method models and forecasts the geometric mean of subpopulation rates and the Ratio of subpopulation rates to product rates. Coherence is imposed by constraining the forecast Ratio function through stationary time series models. The Method is applied to sex-specific data for Sweden and state-specific data for Australia. Based on out-of-sample forecasts, the coherent forecasts are at least as accurate in overall terms as comparable independent forecasts, and forecast accuracy is homogenized across subpopulations.
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coherent mortality forecasting the product Ratio Method with functional time series models
Research Papers in Economics, 2011Co-Authors: Rob J Hyndman, Heather Booth, Farah YasmeenAbstract:When independence is assumed, forecasts of mortality for subpopulations are almost always divergent in the long term. We propose a Method for non-divergent or coherent forecasting of mortality rates for two or more subpopulations, based on functional principal components models of simple and interpretable functions of rates. The product-Ratio functional forecasting Method models and forecasts the geometric mean of subpopulation rates and the Ratio of subpopulation rates to product rates. Coherence is imposed by constraining the forecast Ratio function through stationary time series models. The Method is applied to sex-specific data for Sweden and state-specific data for Australia. Based on out-of-sample forecasts, the coherent forecasts are at least as accurate in overall terms as comparable independent forecasts, and forecast accuracy is homogenised across subpopulations.
T Nakano - One of the best experts on this subject based on the ideXlab platform.
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comparison of he i line intensity Ratio Method and electrostatic probe for electron density and temperature measurements in nagdis ii
Physics of Plasmas, 2006Co-Authors: Shin Kajita, N Ohno, S Takamura, T NakanoAbstract:The electron density and temperature obtained from the line intensity Ratio Method of HeI (λ=667.8, 706.5, and 728.1nm) are compared to the probe Method in a divertor simulator. When a collisional radiative model that does not include the effect of the radiation transport was used for the analysis, ne obtained from the spectroscopic Method was significantly higher than that from the electrostatic probe Method. The discrepancy between the two Methods increases with the gas pressure; in other words, it increases with the optical thickness. In the case that the effect of the radiation trapping is taken into consideRation using optical escape factor, the discrepancy becomes moderate. And then, the parameters obtained from the line intensity Ratio Method agree with the probe Method within a factor of 2 in the case that the radiation trapping was introduced with R=0.05m, which corresponds to the column radius of the spatial profile of the excited population density. In recombining plasmas, however, it was shown...
