A Study of the Practical use of the FCR-method : The Factor Analyses to the Positive Data Set and Negative Data Set Separately

The Fuzzy-set Concurrent Rating Method (FCR-method) was developed to measure human attitude or opinion more naturally than traditional rating scale method by T.Oda et.al. Even 17 years past since the time of development, it had not been used by many researchers. The reasons can be as follows. (1) The researchers can't find the special merit to use the method，though the method requires the complicated procedure. (2) The researchers can't find the way to use the additional data by using the method. The users of the FCR-method have been recommended to calculate and use the integrated values and the degree of contradictions for their practical data set. Here, another way of stochastic data analysis for the data sets provided by using the FCR-method is proposed. It means, without calculating the integrated value, applying the Factor Analysis to the positive data sets and the negative data sets separately. In this paper, the result of the experiment conducted by using the L. Pearce's questionnaire for measuring tourist behavior. The subjects are 80 students of Aichi Institute of Technology. As a result of the factor analyses, a little different factor structures were observed，between the Positive and the Negative data sets. The result is showing the possibility of additional merits of the FCR-method

A Study of the Practical use of the FCR-method : The Factor Analyses to the Positive Data Set and Negative Data Set Separately

The Fuzzy-set Concurrent Rating Method (FCR-method) was developed to measure human attitude or opinion more naturally than traditional rating scale method by T.Oda et.al. Even 17 years past since the time of development, it had not been used by many researchers. The reasons can be as follows. (1) The researchers can't find the special merit to use the method，though the method requires the complicated procedure. (2) The researchers can't find the way to use the additional data by using the method. The users of the FCR-method have been recommended to calculate and use the integrated values and the degree of contradictions for their practical data set. Here, another way of stochastic data analysis for the data sets provided by using the FCR-method is proposed. It means, without calculating the integrated value, applying the Factor Analysis to the positive data sets and the negative data sets separately. In this paper, the result of the experiment conducted by using the L. Pearce's questionnaire for measuring tourist behavior. The subjects are 80 students of Aichi Institute of Technology. As a result of the factor analyses, a little different factor structures were observed，between the Positive and the Negative data sets. The result is showing the possibility of additional merits of the FCR-method

簇间可分的鲁棒模糊C均值聚类算法

与经典的K均值聚类算法相比,模糊C均值(FCM)聚类算法通过引入模糊因子,考虑不同聚类数据簇之间的相互关系,得到可分性更好的聚类结果。但是模糊因子的引入,使得任意一个样本点都存在模糊性...国家自然科学基金(61203176);; 福建省自然科学基金(2013J05098,2016J01756)~

サリンジャー ノ DOWN AT THE DINGHY ニ オケル IT ノ アイデンティティ オ モトメテ

In our daily discourse, we are rather involvrd, sometimes, in the private affairs as third persons, being mystified by the party concerned. We know nothing at all about them, but the conversation grows and snowballs to an extent that we get so impatient in our minds that we are absolutely unfit for any and everything. It is all over up with us. The leading figure in the story, Down at the Dinghy, who overheard a couple of women\u27s blamable and confidential talk in whispers, being hidden secretly somewhere, under the table, misunderstood their real intention even angelically only to result in a happy settlement by the aid of the mother of the figure, Lionel, who was an only four-year-old boy. This essay intends to trace methodically the minute revelation of \u27It\u27 in the story named above

ムテイケイブン ノ イチコウサツ

Any and every part of speech, a word or a phrase, even an interjection, can be a sentence, some circumstances qualified, as well as an utterance. Here comes an amorphous sentence, going by the alias of an inarticulate sentence. A certain part of speech can be categorised into an individual sentence, with the realization of the nexus concerned of a sentence based upon the very axis of coordinates of the context, judging from its antecedent, rather than from its postcedent. "Oh, no!", the very ejaculation exclaimed through the lips of the wife of Kennedy, John Fitzgerald (1917-63), the 35th President of the United States of America could be classified into none other than a sentence, which connotes innumerable items of affairs personally. At that juncture, her beloved husband, the president was assassinated by lethal bullets of some ruffian hidden behind deliberately on parade