{"id":1044,"date":"2011-04-22T11:25:52","date_gmt":"2011-04-22T16:25:52","guid":{"rendered":"http:\/\/www.berjournal.com\/?p=1044"},"modified":"2011-05-18T16:34:44","modified_gmt":"2011-05-18T21:34:44","slug":"evaluation-of-salesperson-candidate%e2%80%99s-with-fuzzy-topsis","status":"publish","type":"post","link":"https:\/\/www.berjournal.com\/tr\/evaluation-of-salesperson-candidate%e2%80%99s-with-fuzzy-topsis","title":{"rendered":"Evaluation of Salesperson Candidate\u2019s with Fuzzy TOPSIS"},"content":{"rendered":"\n\n<\/col>\n<\/colgroup>\n\n\n\n\n\n\n\n
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Article Information<\/strong><\/span><\/p>\n<\/td>\n<\/tr>\n

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Journal: <\/strong><\/span><\/span>Business and Economics Research Journal
\nTitle of Article: <\/strong><\/span><\/span>Bulan\u0131k TOPSIS ile Sat\u0131\u015f Eleman\u0131 Adaylar\u0131n\u0131n De\u011ferlemesi<\/span>
\n[Evaluation of Salesperson Candidate\u2019s with Fuzzy TOPSIS]
\nAuthor(s):<\/strong><\/span><\/span> Zehra Baskaya, Burcu Ozturk<\/span><\/span>
\nVolume:<\/strong><\/span><\/span> 2
\nNumber:<\/strong><\/span><\/span> 2
\nYear:<\/strong><\/span><\/span> 2011
\nPage: <\/strong><\/span><\/span>77 – 100
\nISSN: <\/strong><\/span><\/span>1309-2448<\/span><\/span><\/p>\n<\/td>\n<\/tr>\n

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Abstract <\/strong><\/span><\/span><\/p>\n<\/td>\n<\/tr>\n

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Because of the heavy competition and unce<\/span><\/span>rtainty in market conditions, attainment of complete and certain information flow becomes harder for businesses. In such environments, decision making with fuzzy data is rather important. Problems\u2019 structures in practice are usually complicated and they include more than one criterias and alternatives. The aim of this study is to investigate the applicability of Fuzzy TOPSIS <\/span><\/span>(Technique For Order Performance By Similarity To Ideal Solution)<\/span><\/span> Algorithm for salesperson selection in fuzzy environments where linguistic uncertainty exists. In fuzzy environments, operations with imprecise data are so important in terms of decision making. Fuzzy TOPSIS Algorithm is a multiple criteria decision making tool. This method supports group decision making and evaluation of quantitative and qualitative criterias simultaneously. In the study, a firm\u2019s salesperson selection process is analyzed. This firm has 17 sale stores with high, medium and low concept levels in Turkey\u2019s various regions. Trapezoidal fuzzy numbers used for more sensitive decision making. This study represented that Fuzzy TOPSIS Algorithm is efficiently applicable for salesperson selection in a Fuzzy Multiple Criteria Decision Making Problem<\/span><\/span>.<\/span><\/span><\/p>\n<\/td>\n<\/tr>\n

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Keywords: <\/strong><\/span><\/span><\/span>Fuzzy sets,<\/span><\/span> <\/strong><\/span><\/span>Trapezoidal fuzzy numbers, Fuzzy multiple criteria decision making, Fuzzy TOPSIS, Salesperson selection in fuzzy environment<\/span><\/span><\/p>\n<\/td>\n<\/tr>\n

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JEL Classification: <\/strong><\/span><\/span><\/span>C61, M31<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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Article Information Journal: Business and Economics Research Journal Title of Article: Bulan\u0131k TOPSIS ile Sat\u0131\u015f Eleman\u0131 Adaylar\u0131n\u0131n De\u011ferlemesi [Evaluation of Salesperson Candidate\u2019s with Fuzzy TOPSIS] Author(s): Zehra Baskaya, Burcu Ozturk Volume: 2 Number: 2 Year: 2011 Page: 77 – 100 ISSN: 1309-2448 Abstract Because of the heavy competition and uncertainty in market conditions, attainment of […]<\/p>\n

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