京都大学 / 新制・課程博士 / 博士(文学) / 甲第22906号 / 文博第852号 / 新制||文||698(附属図書館) / 京都大学大学院文学研究科思想文化学専攻 / (主査)教授 杉村 靖彦, 教授 上原 麻有子, 准教授 伊原木 大祐 / 学位規則第4条第1項該当 / Doctor of Letters / Kyoto University / DGAM

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傳統的統計方法檢定都假定資料來自於某個分配，但若假設檢定包含著不確定性時，有關模糊數的假設檢定有其重要性。由此可知，模糊統計推論已逐漸受到重視，這是符合現在複雜的社會現象所自然發展的結果。針對模糊資料，本文嘗試以簡易的計算配合模糊理論，定義出模糊數及模糊區間的排序方法，並將此方法應用在檢定上。即針對傳統無母數檢定方法，在無法解決參數假設為模糊數或是模糊區間值的情形下，為改進此一缺點，本文提出模糊Kruskal-Wallis檢定和Run test檢定。由實証的例子顯示，本文提出的檢定方法能有效解決模糊樣本問題。 再者，傳統的統計迴歸模式，假設觀察值的不確定性來自於隨機現象，但模糊迴歸則考慮不確定性來自於多重隸屬現象。因而以無母數統計方法，配合模糊迴歸理論，進而提出模糊無母數迴歸Theil法，並應用實際的例子，以顯示其存在的實質意義。 / Traditional statistical hypothesis testing is completely assumed that the data are from some statistical distribution. However if the data includes many uncertainties, fuzzy hypothesis testing will be useful in this condition. Thus it can be seen that fuzzy inferential statistics is gradually emphasized in modern world due to the development of complex social phenomenon. In this paper, the ordination technique, based on the fuzzy data, of fuzzy numbers and intervals will be defined by simple computations with fuzzy theories, and this technique will be applied to statistical testing. In another word, traditional nonparametric statistical hypothesis testing could not deal with the data from fuzzy numbers or intervals. To be successful for this, we provide Kruskal-Wallis Test and Run Test in this paper. The testing techniques mentioned by this paper could solve the limitation of fuzzy samples. Some empirical examples will be given to show for this. Furthermore, traditional statistical regression models assume that the uncertainty of the observed values is from random sampling. Nevertheless, fuzzy statistical regression models assume that the uncertainty of the observed data is from the phenomenon of Multiple Membership. Therefore we bring up Theil fuzzy nonparametric regression model considering nonparametric statistical techniques and fuzzy regression models. One practical example is given to show the application for this fuzzy nonparametric regression model in this paper.

Wifly或Wiflop:Qware是否能為全球最大的都市無線網路創造出一個有效可行的商業模式? / Taipei City has made a bold step as a first mover in the increasingly popular municipal wireless movement. Currently Taipei’s WiFly service holds the distinction of operating the largest Wi-Fi network in the world. But there are issues that go beyond the accolades Taipei has received in the press. A municipal wireless network is a complex system that involves more than simply setting up a large number of outdoor wireless antennas. While most city leaders around the world cite social improvement as goals for setting up the networks, the reality if that these networks are large scale business ventures. In most large scale projects, private companies are funding municipal networks. Taipei’s network is no exception. The WiFly network must be also able to support the services that will allow the private company Qware to create a workable business model in order to recoup the high setup costs it spent. Looking into Taipei’s experience with WiFly is important because it is currently the only network of its kind and there is a massive amount of money that other cities around the world are investing in their own municipal networks without any evidence that they work. Unfortunately the value of WiFly is mostly as a lesson to other cities considering such a municipal wireless project. The actual subscriber numbers for WiFly are far below initial projects. Qware faces a daunting task of creating a workable business model with WiFly. The difficulties lie in a chicken and egg type scenario in which the Wi-Fi infrastructure does not support the wireless services that citizens would pay for and the lack of a sufficient wireless infrastructure, including location based services, does not allow smaller companies to invest in the development of wireless services. Making the situation even more difficult for Qware is the fact that the wireless industry is evolving so quickly with new standards like Mobile WiMAX that better support outdoor mobile use and the probable convergence of cellular and IP based broadband. By the time the wireless service industry evolves, WiFly’s Wi-Fi infrastructure may be obsolete.

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近年來公眾無線區域網路逐漸普及，其涵蓋範圍亦由點至面逐漸擴展，現在有許多城市出現無線寬頻網路城市的建置計畫。公眾無線區域網路服務業者在大量佈建無線區域網路的同時，亦面臨到如何提升消費者對無線上網的使用需求的問題，然而無線區域網路在應用服務的發展上仍然有其限制。 本研究對公眾無線區域網路服務業者之發展現況進行探討，以了解其趨勢與問題，並根據探討的結果，思考無線區域網路之特性以及應用，提出後續的發展建議。 / Nowaday, public WLAN is getting to popularize and the coverage of public WLAN extends progressively from point to area. Some cities are planning to build the city-wide wireless network for people. While the public WLAN service industry establishes public WLAN facility broadly, they are facing problems such as how to promote consumers' request, however there are still limitations for developing wireless networking service. The purpose of this thesis is to investigate the condition of the developing of public WLAN service industry, to understand trend and problems of them. According to the result of investigation and considering the characteristic and application of the WLAN, the thesis addresses the suggestions of the development for public WLAN service industry.

國內公司已因修法而得以技術、商譽等無形資產作價為資本，加上政府為發展國內知識經濟產業，協助企業增加融資管道，亦將實施無形資產之融資制度，如何公正、客觀而合理的評估無形資產的價值，顯得更加重要。針對國內經濟、產業經營環境，本研究參考並修正Gu and Lev (2001)之無形資產評估方法，推算無形資產盈餘及無形資產價值，首先以橫斷面分析1991年至2002年間上市公司之每股無形資產盈餘與每股淨值對市場價值之攸關性，再分析人力、結構及關係資本等智慧資本趨動因子與無形資產價值之關聯性。此外，本研究亦進一步將產業區分為無形資產密集產業和非無形資產密集產業，深入探討相關研究議題。 研究結果發現，每股無形資產盈餘與每股淨值之價值攸關性有增加之現象。就個別變數的股價模式分析，每股無形資產盈餘之增額解釋能力有逐年增加之趨勢。就產業別之實證分析顯示，相對於非無形資產密集產業，無形資產密集產業之無形資產盈餘資訊對投資大眾較具有價值攸關性。相對於無形資產密集產業，非無形資產密集產業之帳面權益價值資訊對投資大眾較具價值攸關性。 針對無形資產與智慧資本價值動因之關聯性，本研究發現，與研究假說之預期方向一致，無形資產與毎人營收、員工分紅比率(人力資本之代理變數)、研發費用率和權利金及技術費用率(結構資本之代理變數)、營收成長率(關係資本之代理變數)呈顯著正相關，與用人費用率呈負相關。此結果隱喻，智慧資本因素之投入有助於無形價值之形成。進一步將樣本區分為無形資產密集和非無形資產密集產業之實證結果顯示，無形資產密集產業之無形資產價值與人力資本之員工毎人營收、員工分紅比率、結構資本之研發費用率和權利金及技術費用率呈顯著正相關。非無形資產密集產業之無形資產價值則與人力資本之用人費用率(每人營收和員工分紅比率)和關係資本之廣告費用率(銷貨成長率)呈顯著為負(正)之關係。分析結果顯示，無形資產價值之決定因素似與公司是否為無形資產密集之產業性質而有差別，可供國內企業從事無形資產投資活動之參考。

Kyoto University (京都大学) / 0048 / 新制・課程博士 / 博士(情報学) / 甲第19128号 / 情博第574号 / 新制||情||101 / 32079 / 京都大学大学院情報学研究科通信情報システム専攻 / (主査)教授 守倉 正博, 教授 高橋 達郎, 教授 梅野 健 / 学位規則第4条第1項該当