現今對於幸福感此一主題的測量，主要採用自陳量表的方式。然傳統量表無法精確描述人類多元行為，為期能更正確的瞭解受訪者的內在感受與想法，因此本研究提出模糊統計模式，期能針對過去傳統自陳量表之不足予以改進。而校長身為一間學校的領導者與管理者，其幸福感之程度，必會對學校的氣氛與發展產生直接或間接地影響。雖目前對於教師幸福感及學生幸福感的研究頗多，但針對校長職業幸福感之研究迄今仍尚付闕如，是故此主題值得深究。 本研究採用問卷調查法，以北北基地區國中校長共50位為對象，採用「中學校長職業幸福感量表」為工具，並以敘述統計、偏最小平方法、曼－惠特尼 U 檢定、克－瓦單因子等級變異數分析、Pearson積差相關分析、模糊統計等統計方法進行分析。主要研究結果如下： 1. 北北基地區中學校長對職業幸福感的知覺與感受程度屬中高程度，以「內心滿足感」最高，「職業成就感」居次，最後為「職業滿意感」構面。 2. 服務年資在1-8年的校長的「職業幸福感」高於服務8年以上之校長。 3. 任職「國民中學」的校長其「職業幸福感」高於任職「完全中學」的校長。 4. 模糊語意尺度所得之信度與建構效度均優於傳統問卷尺度所得。 本研究根據資料分析結果進行討論，並提出數點建議供後續相關工作及研究參考。 / Well-being of principals is one of the most important indicators of a school. Principals as leaders and managers in schools, their condition of well-being can directly or indirectly affect the atmosphere and development of schools. The most common measurement regarding the topic is self-report inventory, However, traditional inventories cannot reflect human’s behaviors. In order to clearly understand interviewees’ feelings and thoughts, the study provided fuzzy statistics model in the hope of improving insufficiencies of traditional inventories. In the study, a questionnaire survey method is used, and 50 principals from Taipei-Keelung metropolitan area are surveyed with stratified sampling. Data analysis includes descriptive statistics, PLS-SEM, Mann–Whitney U test, Kruskal-Wallis one-way ANOVA by ranks, Pearson product–moment correlation analysis, and fuzzy statistics. The main conclusions are as follows: 1. The occupational well-being of principals from Taipei-Keelung metropolitan area was above the medium level. “Inner satisfaction” factor was the highest score on “occupational well-being”. 2. The principals with 1-8 years of service, their occupational well-being was better than the principals who have 8 or more years of service. 3. The occupational well-being of principals in junior high school was better than the principals in complete high school. 4. The reliability and construct validity calculated by fuzzy scales were better than by traditional scales. This research mainly focuses on the data analysis and discussion, and provides some suggestions for future studies.