隨著汽車逐漸成為人們生活中不可或缺的交通工具，將汽車打造成一個縮小版的生活空間已成為趨勢；其中，汽車座椅舒適度為本研究探討的主題。為了提升汽車座椅的舒適度，事先瞭解其中的影響舒適度因素與使用者的過去經驗和偏好是關鍵。
本研究透過文獻搜集後認為，舒適度是由支撐度、散熱能力與設計感三個構面所組成，以上三個構面可以成為使用者主觀偏好的評估目標。在面臨同時存在的數個評估構面，提供一種能夠評估多準則整體成績的方法成為本研究的首要目的。本研究提供四架現今台灣市面上的汽車座椅，做為此方法評估的對象。
首先運用了層級分析法(AHP)建立起舒適度的評估架構；接著，考量到原本提出的評估準則間並非獨立的特性，所以加入模糊積分法(FIM)解決層級分析法之獨立性假設。透過模糊積分法找到受試者對座椅舒適度的偏好，以及得到座椅舒適度分數，提供一個有效的汽車座椅舒適度評估方法。在主觀權重方面，單因子以支撐度為最高0.1715，當支撐度與散熱能力結合可達到權重0.5131，設計感與支撐度結合也可達到0.3671。最後根據四架座椅的準則特性與得分高低，對之後的汽車座椅提出設計建議。

As cars have increasingly become an essential means of transportation in modern life, the effort to establish a comfortable living environment in the limited space of a car has become an on-going trend. Car seats comfort becomes the subject of this study. In order to increase the comfort of car seats, we find it important to realize the comfort-affecting factors and understand users' preferences based on their past experience in cars.
This research proposes that car seats comfort combines three factors: support, cooling ability and aesthetic design, and we can use these factors as the assessment objectives of users' subjective preference. In this research, we attempt to provide a method that can handle the problem of multiple criteria dealing with different aspects of a single goal, which is to improve seat comfort. This research singles out four car seats of different models for evaluation.
First, we use AHP to establish a hierarchical system for differentiating degrees of comfort. Then, considering the non-independent characteristic among the different evaluation criteria, this study tries to reconcile the independent assumption by using Fuzzy Integral Method (FIM). FIM enables us to find out a user's preference of car seats and get a car seats comfort score. In the subjective weight, support gets 0.1715 which is the highest in single factor. If support combines with cooling ability, the weight is 0.5131；Aesthetic design combines with support, the weight is 0.3671. Lastly, based on the data of criteria characteristics and scores gathered from the four seats, this research will come up with some suggestions for future car seat design.

英文部份
[1] Akerblom, B. (1948) Standing and sitting posture. Stockholm： A.-B. Nordiska Bokhandeln.
[2] Branton, P. (1969), Behaviour, body mechanics and discomfort, Ergonomics, 12, 316-327.
[3] Buckley, J. J. (1985), Fuzzy hierarchical analysis. Fuzzy sets and systems, 17(3), 232-247.
[4] Baba, M., Dian, D., & Mohd, J. (2009). Evaluation of static car driver seat discomfort through objective and subjective methods. APIEMS, 1197-1205.
[5] Cranmer, K., “Vehicle seat with temperature and ventilation control and method of operation”, U.S Pat., 5934748(1999).
[6] Chen, Y. W., & Tzeng, G. H. (2001). Using fuzzy integral for evaluating subjectively perceived travel costs in a traffic assignment model. European Journal of Operational Research, 130(3), 653-664.
[7] Chen, Y. L., & Tzeng, S. Y. (2010). Assessment of customers’ perceptions toward attributes of bedroom space.
[8] Fukushima, Kiyoshi, Kawata, Hiroshi, Fujiwara, Yoshihisa , Genno & Hirokazu, (1995). Human sensory perception oriented image processing in a color copy system.
[9] Graf, M., Guggenbuhl, U., & Krueger, H. (1995). An assessment of seated activity and postures at five workplaces. International Journal of Industrial Ergonomics, 15(2), 81-90.
[10] Harrison, D.D., Haqrrison, S.O., Croft, A.C., Harrison, D.E. & Troyanovich, S.J. (1999). Sitting biomechanics Part I： Review of the Literature. Journal of Manipulative and Physiological Therapeutics 22(9), 594-609.
[11] Heo, S., & Harada, A. (1999). Research on Characteristics of Kansei Reaction toward Image, 4th Asian Design Conference.
[12] Ishii, K., Sugeno, M. (1985). A model of human evaluation process using fuzzy measure. International Journal of Man-Machine Studies, 22(1), 19-38.
[13] Kolich, M. (1999). Reliability and validity of an automobile seat comfort survey. Technical Paper No. 990132. Society of Automotive Engineers, Inc., Warrendale, PA, USA.
[14] Lee, K. M., & Leekwang, H. (1995). Identification of fuzzy measure by genetic algorithms. Fuzzy Sets and Systems, 75(3), 301-309.
[15] Lee, J., Grohs, T., & Milosic, M. (1995). Evaluation of Objective Measurement Techniques for Automotive Seat Comfort. SAE Technical Paper no. 950142.
[16] Lee, SeungHee, Harada & Akira, (1998). A Kansei Design Approach by Objective and Subjective Evaluation of Kansei Information, China-Japan-Korea Design Symposium, 961-968.
[17] Murofushi, T., & Sugeno, M. (1989). An interpretation of fuzzy measures and the choquet integral as an integral with respect to a fuzzy measure, Fuzzy Sets and Systems, 29(2), 201–27.
[18] Matsubara, Yukihiro, Nagamachi, & Mitsuo, (1997). Hybrid Kansei Engineering System and design support, International Journal of Industrial Ergonomics 19, 81-92.
[19] Nagamachi, & Mitsuo, (1995). Kansei Engineering： A new ergonomic consumer – oriented technology for product development, International Journal of Industrial Ergonomics 15, 3-11.
[20] Shackel, Chidsey, & Shipley. (1969). The assessment of chair comfort, Ergonomics, 12, 269-306.
[21] Saaty, T. L. (1980). The Analytic Hierarchy Process, McGraw Hill Company,
New York.
[22] Sugeno, M., Narukawa, Y., Murofushi, T. (1998). Choquet integral and fuzzy measures on locally compact space, Fuzzy Sets and Systems, 7(2), 205–211.
[23] Yamazaki, N. (1992). Analysis of sitting comfortability of driver’s seat by contact shape. Ergonomics 35(5–6), 677–692.
[24] Zhang, L., Helander, M., & Drury, C. (1996). Identifying factors of comfort and discomfort, Human Factors 38(3), 377–389.
中文部分
[25] 李允中，王小潘，蘇木春，模糊理論及其應用，全華科技圖書股份有限公司，92年。
[26] 周君瑞，複合感性意象之塑造-以造型特徵為基礎，國立成功大學工業設計研究所碩士論文，90年。
[27] 林家立，專案價值廠商標案決策，國立交通大學土木研究所碩士論文，93年。
[28] 陳肇杰，產品造型評價語彙之研究，國立成功大學工業設計研究所碩士論文，83年。
[29] 陳國祥，管倖生，鄧怡莘，張育銘，(2001)，感性工學，將感性予以理性化的方法，工業設計，第29卷 第一期，2-16。
[30] 容怡平，利用模糊層級分析法評估低成本航空公司服務品質，國立台灣科技大學工業管理研究所碩士論文，95年。
[31] 陳俊文，以消費者選擇偏好規劃新M世代行動電信服務，國立交通大學科技管理研究所碩士論文，96年。
[32] 許勝雄，吳水丕，彭游，人因工程-工程與設計之人性因素(下冊)，麥格羅 希爾，台北，89年。