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±ÛÀ» ÅëÇÑ ´äº¯ÀÌ ÃæºÐÇÒÁö ¸ð¸£Áö¸¸ Çѹø ´õ ´äº¯µå¸®Áö¿ä.

ÇØ´ç Áú¹®ÀÇ ¾Æ·¡ ºÎºÐ¿¡ ÷±âÇÏ¿´½À´Ï´Ù.



ÁÁÀº ÇÏ·ç º¸³»¼¼¿ä.





±×¸°ºñ wrote:

>ÇÁ·Î±×·¥¿¡¼­ Ç¥¸é»óÀ¸·Î CR°ªÀ» ¾Ë ¼öÀÖ´Ù°í Çϼ̴µ¥,,

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>Á¦°¡ Áö±Ý ¹Ì±¹¿¡¼­ ´Ù¿î¹ÞÀº ÇÁ·Î±×·¥À» »ç¿ëÇϴµ¥,

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>Á˼ÛÇÕ´Ï´Ù¸¸, ´Ù½ÃÇѹø ¾Ë·Á ÁÖ¼¼¿ä..

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>Âü°í·Î, INCONSISTENTCY¸¦ ¸»ÇÏ´Â °Ç ¾Æ´Ï°ÚÁÒ?



¸Â½À´Ï´Ù. Inconsistency°¡ CR °ªÀ» º¸¿©ÁÖ´Â °ÍÀÔ´Ï´Ù.

Âü°í·Î ´ÙÀ½ »çÇ×À» ÀÐ¾î º¸¼¼¿ä.

In order to derive an accurate interpretation of either the difference or the consistency index, Saaty simulated a very large number of random pairwise comparisons for different size matrices, calculating the consistency indices and arriving at an average consistency index for random judgments for each size matrix. He then defined the consistency ratio as the ratio of the consistency index for a particular set of judgments to the average consistency index for random comparisons for a matrix of the same size.



Since a set of perfectly consistent judgments produces a consistency index of 0, the consistency ratio will also be zero. A consistency ratio of 1 indicates consistency akin to that which would be achieved if judgments were made at random rather than intelligently. This ratio is called the inconsistency ratio in Expert Choice, since the larger the value, the more inconsistent the judgments.

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>¸¸¾à 0.00À¸·Î ³ª¿À¸é ±× °ªÀ» È®ÀÎÇÒ ¼ö ¾ø´Â °ÍÀ¸·Î ÆǴܵǴµ¥¿ä...

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>¾îµð¿¡¼­ CR°ªÀ» È®ÀÎÇÒ ¼ö ÀÖ´ÂÁö Á» ¾Ë·ÁÁÖ¼¼¿ä...





Á¦°¡ º¸±â¿¡ trial ¹öÁ¯À̶ó ±×·± °ÍÀÌ ¾Æ´Ñ°¡ »ý°¢ÇÕ´Ï´Ù.

Á¤½Ä ¹öÁ¯¿¡¼­´Â ¼Ò¼öÁ¡ ÀÌÇÏ 5ÀÚ¸®±îÁö °ªÀ» º¸¿© ÁÖ°í ÀÖ½À´Ï´Ù.

[ÀμâÇϱâ] 2003-06-23 18:20:22 /


     
  


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