{"id":6112,"date":"2024-02-21T23:35:16","date_gmt":"2024-02-21T20:35:16","guid":{"rendered":"https:\/\/www.berjournal.com\/?p=6112"},"modified":"2024-04-24T02:45:48","modified_gmt":"2024-04-23T23:45:48","slug":"comparative-analysis-of-the-mcdm-methods-with-multiple-normalization-techniques-three-hybrid-models-combine-mpsi-with-dnmarcos-aroman-and-macont-methods","status":"publish","type":"post","link":"https:\/\/www.berjournal.com\/tr\/comparative-analysis-of-the-mcdm-methods-with-multiple-normalization-techniques-three-hybrid-models-combine-mpsi-with-dnmarcos-aroman-and-macont-methods","title":{"rendered":"Comparative Analysis of the MCDM Methods with Multiple Normalization Techniques: Three Hybrid Models Combine MPSI with DNMARCOS, AROMAN, and MACONT Methods"},"content":{"rendered":"<p><\/p>\n<table style=\"font-family: Arial, serif; text-align: justify;\" width=\"534\" cellspacing=\"0\" cellpadding=\"7\">\n<tbody>\n<tr>\n<td style=\"color: #ffffff; font-weight: bold;\" valign=\"middle\" bgcolor=\"#0188a6\" width=\"534\" height=\"40\">Makale Bilgileri<\/td>\n<\/tr>\n<tr>\n<td valign=\"TOP\" bgcolor=\"#ffffff\" width=\"534\" height=\"169\">\n<table border=\"0\" width=\"100%\" cellspacing=\"5\" cellpadding=\"0\">\n<tbody>\n<tr>\n<td style=\"color: #0188a6; font-weight: bold;\" align=\"left\" valign=\"top\" width=\"120\">Dergi:<\/td>\n<td>Business and Economics Research Journal<\/td>\n<\/tr>\n<tr>\n<td style=\"color: #0188a6; font-weight: bold;\" align=\"left\" valign=\"top\" width=\"0\">Makalenin Ba\u015fl\u0131\u011f\u0131:<\/td>\n<td>Comparative Analysis of the MCDM Methods with Multiple Normalization Techniques: Three Hybrid Models Combine MPSI with DNMARCOS, AROMAN, and MACONT Methods<\/td>\n<\/tr>\n<tr>\n<td style=\"color: #0188a6; font-weight: bold;\" align=\"left\" valign=\"top\" width=\"0\">Yazar(lar):<\/td>\n<td>Pembe G\u00fc\u00e7l\u00fc<\/td>\n<\/tr>\n<tr>\n<td style=\"color: #0188a6; font-weight: bold;\" align=\"left\" valign=\"top\" width=\"0\">Cilt:<\/td>\n<td>15<\/td>\n<\/tr>\n<tr>\n<td style=\"color: #0188a6; font-weight: bold;\" align=\"left\" valign=\"top\" width=\"0\">Say\u0131:<\/td>\n<td>2<\/td>\n<\/tr>\n<tr>\n<td style=\"color: #0188a6; font-weight: bold;\" align=\"left\" valign=\"top\" width=\"0\">Y\u0131l:<\/td>\n<td>2024<\/td>\n<\/tr>\n<tr>\n<td style=\"color: #0188a6; font-weight: bold;\" align=\"left\" valign=\"top\" width=\"0\">Sayfa:<\/td>\n<td>129-154<\/td>\n<\/tr>\n<tr>\n<td style=\"color: #0188a6; font-weight: bold;\" align=\"left\" valign=\"top\" width=\"0\">ISSN:<\/td>\n<td>2619-9491<\/td>\n<\/tr>\n<tr>\n<td style=\"color: #0188a6; font-weight: bold;\" align=\"left\" valign=\"top\" width=\"0\">DOI Numaras\u0131:<\/td>\n<td>10.20409\/berj.2024.436<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n<\/tr>\n<tr>\n<td style=\"color: #ffffff; font-weight: bold;\" valign=\"middle\" bgcolor=\"#0188a6\" width=\"534\" height=\"40\">\u00d6z<\/td>\n<\/tr>\n<tr>\n<td valign=\"TOP\" bgcolor=\"#ffffff\" width=\"534\">Several multi-criteria decision-making methods have been developed to solve complex decision problems encountered in business and daily life. These methods offer a systematic approach to evaluating multiple decision alternatives and conflicting criteria. The normalization stage in the multi-criteria decision-making process is important in evaluating the contribution of criteria or alternatives to the process in a fair, consistent, comparable, and objective way. Various methods employ one or more normalization techniques, and the combined use of multiple normalization techniques allows for a comprehensive analysis. In this study, Double Normalized Measurement of Alternatives and Ranking According to COmpromise Solution (DNMARCOS), Alternative Ranking Order Method Accounting for Two Step Normalization (AROMAN), and Mixed Aggregation by Comprehensive Normalization Technique (MACONT) methods used multiple normalization techniques are compared and evaluated for a robot vacuum cleaner selection problem. The relations of the ranking results were evaluated by correlation analysis. The performance comparisons of the methods were made in terms of the final scores&#8217; standard deviations and the methods&#8217; computational complexity. The findings indicate that DNMARCOS has the best performance among the three methods and MACONT has the lowest performance.<\/td>\n<\/tr>\n<tr>\n<td valign=\"TOP\" bgcolor=\"#ffffff\" width=\"534\" height=\"22\">\n<hr style=\"height: 5px; background-color: #0188a6; margin-top: 5px; margin-bottom: 5px;\" \/>\n<table border=\"0\" width=\"100%\" cellspacing=\"0\" cellpadding=\"0\">\n<tbody>\n<tr>\n<td style=\"color: #0188a6; font-weight: bold;\" align=\"left\" valign=\"top\" width=\"120\">Anahtar Kelimeler:<\/td>\n<td>Multi-criteria Decision Making, Normalization Techniques, MPSI, DNMARCOS, AROMAN, MACONT<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n<\/tr>\n<tr>\n<td valign=\"TOP\" bgcolor=\"#ffffff\" width=\"534\">\n<hr style=\"height: 5px; background-color: #0188a6; margin-top: 5px; margin-bottom: 5px;\" \/>\n<table border=\"0\" width=\"100%\" cellspacing=\"0\" cellpadding=\"0\">\n<tbody>\n<tr>\n<td style=\"color: #0188a6; font-weight: bold;\" width=\"120\">JEL S\u0131n\u0131fland\u0131rmas\u0131:<\/td>\n<td>C44, D81<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<hr style=\"height: 5px; background-color: #0188a6; margin-top: 5px; margin-bottom: 5px;\" \/>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><table style=\"border: 0px solid #CCC;\" cellpadding=\"3\" width=\"100%\">\r\n  <tr>\r\n    <td width=\"35\">\r\n      <img decoding=\"async\" src=\"https:\/\/www.berjournal.com\/tr\/wp-content\/uploads\/icons\/pdf.gif\" alt=\"https:\/\/www.berjournal.com\/tr\/wp-content\/uploads\/icons\/pdf.gif\" width=20 height=18>\r\n    <\/td>\r\n    <td>\r\n      <b> \r\n<a href=\"https:\/\/www.berjournal.com\/tr\/?file_id=913\">Tam Metin\r\n<\/b> ( <span style=\"font-weight:bolder;\">\u2193<\/span> 4562)<\/a>    <\/td>\r\n  <\/tr>\r\n<\/table>Tam Metin\r\n<\/b> ( <span style=\"font-weight:bolder;\">\u2193<\/span> 4562)<\/a>    <\/td>\r\n  <\/tr>\r\n<\/table><\/p>\n<div class=\"pvc_clear\"><\/div>\n<p id=\"pvc_stats_6112\" class=\"pvc_stats all  \" 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12.8 12.8 12.8z\" class=\"\"><\/path><\/svg><\/i> <img loading=\"lazy\" decoding=\"async\" width=\"16\" height=\"16\" alt=\"Loading\" src=\"https:\/\/www.berjournal.com\/wp-content\/plugins\/page-views-count\/ajax-loader-2x.gif\" border=0 \/><\/p>\n<div class=\"pvc_clear\"><\/div>","protected":false},"excerpt":{"rendered":"<p>Makale Bilgileri Dergi: Business and Economics Research Journal Makalenin Ba\u015fl\u0131\u011f\u0131: Comparative Analysis of the MCDM Methods with Multiple Normalization Techniques: Three Hybrid Models Combine MPSI with DNMARCOS, AROMAN, and MACONT Methods Yazar(lar): Pembe G\u00fc\u00e7l\u00fc Cilt: 15 Say\u0131: 2 Y\u0131l: 2024 Sayfa: 129-154 ISSN: 2619-9491 DOI Numaras\u0131: 10.20409\/berj.2024.436 \u00d6z Several multi-criteria decision-making methods have been developed [&hellip;]<\/p>\n<div class=\"pvc_clear\"><\/div>\n<p id=\"pvc_stats_6112\" class=\"pvc_stats all  \" data-element-id=\"6112\" style=\"\"><i class=\"pvc-stats-icon medium\" aria-hidden=\"true\"><svg aria-hidden=\"true\" focusable=\"false\" data-prefix=\"far\" data-icon=\"chart-bar\" role=\"img\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewBox=\"0 0 512 512\" class=\"svg-inline--fa fa-chart-bar fa-w-16 fa-2x\"><path fill=\"currentColor\" d=\"M396.8 352h22.4c6.4 0 12.8-6.4 12.8-12.8V108.8c0-6.4-6.4-12.8-12.8-12.8h-22.4c-6.4 0-12.8 6.4-12.8 12.8v230.4c0 6.4 6.4 12.8 12.8 12.8zm-192 0h22.4c6.4 0 12.8-6.4 12.8-12.8V140.8c0-6.4-6.4-12.8-12.8-12.8h-22.4c-6.4 0-12.8 6.4-12.8 12.8v198.4c0 6.4 6.4 12.8 12.8 12.8zm96 0h22.4c6.4 0 12.8-6.4 12.8-12.8V204.8c0-6.4-6.4-12.8-12.8-12.8h-22.4c-6.4 0-12.8 6.4-12.8 12.8v134.4c0 6.4 6.4 12.8 12.8 12.8zM496 400H48V80c0-8.84-7.16-16-16-16H16C7.16 64 0 71.16 0 80v336c0 17.67 14.33 32 32 32h464c8.84 0 16-7.16 16-16v-16c0-8.84-7.16-16-16-16zm-387.2-48h22.4c6.4 0 12.8-6.4 12.8-12.8v-70.4c0-6.4-6.4-12.8-12.8-12.8h-22.4c-6.4 0-12.8 6.4-12.8 12.8v70.4c0 6.4 6.4 12.8 12.8 12.8z\" class=\"\"><\/path><\/svg><\/i> <img loading=\"lazy\" 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