000 | 01315nam a22002177a 4500 | ||
---|---|---|---|
999 |
_c2880 _d2880 |
||
005 | 20220715180610.0 | ||
008 | 220715b ||||| |||| 00| 0 eng d | ||
020 | _a9783030741754 | ||
082 |
_a658.403 _bSIL |
||
100 |
_aSilahtaroglu, Gokhan _97561 |
||
245 | _aData science and multiple criteria decision making approaches in finance | ||
260 |
_bSpringer _aSwitzerland _c2021 |
||
300 | _axvi, 173 p. | ||
365 |
_aEUR _b79.99 |
||
520 | _aAbout this book This book considers and assesses essential financial issues by utilizing data science and fuzzy multiple criteria decision making (MCDM) methods. It introduces readers to a range of data science methods, and demonstrates their application in the fields of business, health, economics, finance and engineering. In addition, it provides suggestions based on the assessment results on each topic, which can help to enhance the efficiency of the financial system and the sustainability of economic development. Given its scope, the book will help readers broaden their perspective on the assessment and evaluation of financial issues using data science and MCDM approaches. | ||
650 |
_aMultiple criteria decision making _96104 |
||
650 |
_aData mining _9365 |
||
650 |
_aFuzzy logic _97562 |
||
650 |
_aManagement science _9754 |
||
942 |
_2ddc _cBK |