在社會科學的領域當中，為了有效了解人類的行為，用數字對人類的行為加以具體的量化，成為有效描述和解釋人類行為的工具。然而人是一個獨特的個體，人類的行為和思考具有主觀和複雜的特性，有時候，我們雖然可以肯定的回答是或不是，但大多數人真正的想法和感覺，卻是複雜而難以區辨的，真正的答案，往往是介於是與不是的中間，隨著心情的搖擺不定，模糊而不易明確決定的。 本研究擬以近年來對人們影響至鉅的網路成癮行為問題為研究主題，試著比較應用模糊統計所填答之量表與應用傳統方式所填答之量表當中的差異，探討模糊統計技術對人類行為了解的情形。結果發現，用模糊量表填答顯示出結果的呈現上較均衡，不會像傳統反應量表，較容易集中在某個回答項上，或是極端值顯著較低的現象。同時，不同題項的單項網路成癮指數得到各個學生在不同成癮條件的狀況，可以作為輔導或治療網路成癮行為的指標。

In social science, it is popular to use numerical categories as quantitative measure in describing behavior. But human behavior have subjective and complicated character­istics, sometimes, the answer yes or no which though we know as most people's response doesn't really mean the truth. With the effect of different emotion and situation factors, the real answer will always be fuzzy. The purpose oft his study is to compare the difference of the result between the fuzzy statistics measure and the traditional measure in the internet addition. It is found that the frequency distributions of the two measures are different. The fuzzy statistics mea­sure will originally reflect the responses of the subjects, that means the extreme value frequencies of the fuzzy statistics measure is higher than the traditional measure. In the fuzzy statistics measure the answers of the subjects will distributed more averagely in different response choices. The index of internet addition for single item can be used as the orientation in therapy.