灰局勢決策法主要運用在處理某事件及應付該事件之多個對策中，能有效的優化排序其二元局勢方案的方法。灰靶決策原理是將最佳效果點或最佳滿意點的中心看成一個立體的灰靶，只要局勢效果落在這個區域內，即為滿意局勢。灰局勢決策法具有運算簡單、原理明確及效果可靠等優點。本研究以網路行銷上各種推廣方式與其所對付之廣告對策應用灰局勢決策法進行優序排列，以選出較佳之局勢組合進行網路行銷。

　　本研究提出多評準局勢灰靶決策模型，並運用在網路行銷廣告決策。此模型之進行方式首先經過完整的決策事件探討，並對各決策事件之因應對策進行蒐集與分析整理以建構局勢。在多評準的選擇標準之目標選定上，進行效果樣本灰數之白化程序。經由合理的權重測度與決策矩陣的合理初始化，運用灰靶值的約束決策優序過程，可獲得明確的局勢優序結果。在實證結果，比傳統之灰局勢決策法，獲得更明確的局勢方案優序排列結果。可以證明此多評準局勢灰靶決策模型對於網路行銷廣告決策的結果，有相當優秀的表現。

　Grey Situation Decision Method is mainly used to deal with some event or the deal with the corresponding strategies to such an event that can effectively optimize the dual situation in order. Grey Target Decision principle regards the center of the most effective or most satisfied point as a three-dimensional grey target. Only if the effect of the situation is fallen onto the area, it will be a satisfied situation. Grey Situation Decision Method has the advantages as simple operation, definite principle and reliable effect etc. This research uses various popularizing methods applied by Internet Marketing and the corresponding advertising strategies as the studying targets, then apply Grey Situation Decision Method to carry out the optimization in order and pick up a better situation combination to proceed Internet Marketing.

　This research proposes Multi-Criteria Situation Grey Target Decision Model, and applies it to Internet Marketing Advertising Strategy. The proceeding method of this model is to pass a complete discussion of strategic event decision first, then carry out the collection, analysis and arrangement of the corresponding strategies towards each event decision to construct situation, and then proceed the white-procedure of the effective sample grey-number according to the Multi-Criteria target choosing standard. Via the reasonable weight estimating and the reasonable initialization of decision matrix, we can get define result of the situation optimization in order by exercising the Grey-target Value to restraint the decision optimization in order. According to the experimental result, we know that Multi-Criteria Situation Grey Target Decision Model, comparing with the traditional Grey Situation Decision Method, can acquire much definite result of the optimization of situation plan in order and have outstanding display towards the result of advertising decision of Internet marketing.

中文部分
王清印(1996)。灰色數學基礎。華中理工大學出版社。
易德生，郭萍(1992)。灰色理論與方法—提要、題解、程序、應用。石油工業出版社。
徐章一，馬士華，許淑君(2005)。基於競爭力的企業合作夥伴選擇的灰局勢決策。工業工程與管理。2005-01。29-33。
徐福留，陶澍，曹軍，李本綱，徐卓然，錢揚萬，戎勵倫(2000)。灰色局勢決策模型在生態環境綜合整治方案優化中的應用。環境科學學報。20(5)。563-568。
財團法人台灣網路資訊中心(2005/05)。網路統計。http://www.twnic.net/total/ total_01.htm. 2005.05.12.
曹軍，胡萬義(1993)。灰色系統理論與方法。東北林業大學出版社。
曹麗文，吳聖林，于宗仁，王忠勝(2004)。基於灰色局勢決策理論的工程投標決策方法。華中科技大學學報自然科學版。32(7)。27-30。
財團法人資訊工業策進會(1992)。1999-2003年台灣電子商務產業前瞻-網路廣告篇。財團法人資訊工業策進會。
財團法人資訊工業策進會(2003)。2003網際網路應用及發展年鑑。經濟部技術處。
許志義(2003)。多目標決策。五南圖書出版公司。59-60。
鄧聚龍(1979)。參數不完全大系統的最小信息鎮定。1979年北京軍事系統工程學術會議。
鄧聚龍(1994)。社會經濟灰色系統的理論與方法。中國社會科學。1994年第6期。
鄧聚龍(2003)。灰色系統理論與應用。高立圖書有限公司。
傅立(1992)。灰色系統理論及其應用。科學技術文獻出版社。
董偉，陳海耿，李瑞陽，郁鴻凌(2003)。多目標灰色局勢決策在加熱爐動態操作中的應用。化工學報。54(11)。16-20。
劉耀林，劉艷芳，明冬萍(2004)。基于灰色局勢決策規則的細胞自動機城市擴展模型。武漢大學學報信息科學版。29(1)。7-13。
黨耀國，劉國峰，王建平，劉斌(2004)。多指標加權灰靶的決策模型。統計與決策。2004(3)。29-30。

英文部分
Adler, R. P., & Christopher, A. J.(2005/05). Internet Community Primer Overview and Business Opportunities. http:// www.digiplaces.com/
pages/primer_00_toc.html. 2005.05.12.
Armstrong, A., & Hagel,J.(1996). The Real Value of Online Communities. Harvard Business Review, Boston, 74(3), 134-141.
Amit, B., & Sanjoy, G.(2004). A latent class segmentation analysis of e-shoppers. Journal of Business Research, 57, 758-767.
Bannercreator.NU.(2005/05).http://www.bannercreator.nu/banner-size.html. 2005.05.12.
Chiang, H. K., & Tseng, C. H.(2004). Design and implementation of a grey sliding mode controller for synchronous reluctance motor drive. Control Engineering Practice, 12, 155-163.
Duboff, R., & Spaeth, J.(2000). Researching the future internet. Directing Marketing, 63.
Ducoffe, R. H.(1996). Advertising value and advertising on the web. Journal of Advertising Research, 36(5), 21-34.
Fabiani, A., Galimberti, F., Sanvito, S., & Hoelzel A. R.(2004). Extreme polygyny among southern elephant seals on Sea Lion Island, Falkland Islands. Behavioral Ecology, 15, 961-969.
Hoffman, J. I., Boyd, I. L., & Amos, W.(2003). Male reproductive strategy and the importance of maternal status in the Antarctic fur seal Arctocephalus gazelle. Evolution, 57(8), 1917-1930.
Hoffman, D. L., & Novak, T. P.(2000). How to acquire customers on the web. Harvard Business Review, 78, 179-185.
Hoffman, D. L., Novak, T. P., & Duhachek, A.(2003). The Influence of Global-Directed and Experiential Activities on Online Flow Experiences. Journal of Consumer Psychology, 13, 3-16.
Hsu, C. C., & Chen, C. Y.(2003). Applications of improved grey prediction model for power demand forecasting. Energy Conversion and Management 44, 2241-2249.
Huang, Z. Q., Jiang, T., Yue, Z. Q., Lee, C. F., & Wang, S. J.(2003). Deformation of the central pier of the permanent shiplock, Three Gorges Project, China: an analysis case study. International Journal of Rock Mechanics & Mining Sciences, 40, 877-892.
IAB(2003). IAB Internet Advertising Revenue Report 2002 Full-Year and Fourth Quarter Resulta. http://www.iab.com/resources/ad_revenue.asp. 2004.11. 16.
IAB(2004). IAB Internet Advertising Revenue Report 2003 Full-Year and Fourth Quarter Resulta. http://www.iab.com/resources/ad_revenue.asp. 2004.11. 16.
Kozinets, R. V.(1999). E-Tribalized Marketing? The Strategic Implications of Virtual Communities of Consumption. European Management Journal, 17(3), 252-264.
Liu, T. Y., Yeh, J., Chen, C. M., & Hsu, Y. T.(2004). A GreyART system for grey information processing. Neurocomputing, 56, 407-414.
Pillay, A., & Wang, J.(2003). Modified failure mode and effects analysis using approximate reasoning. Reliablity Engineering and System Safety, 79, 69-85.
Robbin, Z., & Brad, A.(1999). Advertising on the Internet. 2nd.
Smith, M., Putz, B., Auer, D., & Fahrmeir, L.(2003). Assessing brain activity through spatial Bayesian variable selection. Neuroimage, 20(2), 802-815.
Tanaka, K., Shouno, H., Okada, M., & Titterington D. M.(2004). Accuracy of the Bethe approximation for hyperparameter estimation in probabilistic image processing. Journal of Physics A-Mathematical and General, 37(36), 8675-8695.
Utpal, M. D., Richard, P. B., & Lisa, K. P.(2004). A social influence model of consumer participation in network and small-group-based virtual communities. Journal of Research in Marketing, 21, 241-263.
Wu, C. C., & Chang, N. B.(2003). Global strategy for optimizing textile dyeing manufacturing process via GA-based grey nonlinear integer programming. Computers and Chemical Engineering, 27, 833-854.
Wu, C. C., & Chang, N. B.(2004). Corporate optimal production planning with varying environmental costs_A grey compromise programming approach. European Journal of Operational Research, 155, 68-95.
Wu, C. C., & Chang, N. B.(2003). Grey input-output analysis and its application for environmental cost allocation. European Journal of Operational Research, 145, 175-201.
Yao, W. L., & Chi, S. C.(2004). Analysis and design of a Taguchi-Grey based electricity demand predictor for energy management system. Energy Conversion and Management, 45, 1205-1217.
Yeh, S. C., & Tung, C. P.(2003). Optimal balance between land development and groungwater conservation in an uncertain coastal environment. Civil Engineering and Environmental Systems, 20(2), 61-81.
Yiqiang, J., Yang, Y., Shiming, D., & Zuiliang, M.(2004). Applying grey forecasting to predicting the operating the operating energy performance of air cooled water chillers. International Journal of Refrigeration, 27, 385-392.
Zeff, R., & Brad, A.(1999). Advertising on the Internet Second Edition. John Wiley & Sons, Inc.
Zhang, H., Li, Z., & Chen, Z.(2003). Application of grey modeling method to fitting and forecasting wear trend of marine diesel engines. Tribology International, 36, 753-756.