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rst four attributes can be expressed as trapezoidal fuzzy membership functions (shown in Fig. 6.6). For each attribute, the support set of the preference function represents the range of tolerable values; and the core represents the most desirable range of the top preference with the membership value 1. The remaining two features, number of bathrooms and number of bedrooms, are evaluated in a similar way. For example, the preference function of the number of bedrooms is represented by re exive asymmetric fuzzy relation, which is illustrated in Table 6.7. As a result of the evaluation, each comparison gets a preference vector, whose value lies in the interval [0,1]. These values represent the partial degrees of membership of each feature value in the fuzzy sets and fuzzy relations, which represented users selection preference. The similarity measure is a function of the preference vectors and of the users priorities. These priorities are represented using the weights re ecting the attributes relative importance in the speci c market area. For example, in Bonissone s experiment, the weights that are listed in the weight column can be obtained by interviewing expert appraisers using Saaty s pair wise comparison methods [21]. The evaluation representing the attributes degree of matching obtained using the above membership functions, are listed in the preference column. The product of the preference score and the weights for an attribute is given in the weighted preference column. The similarity measure is then obtained as in Table 6.8. With the

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C views the Web page and in so doing, loads down and enables the applet, which now communicates with A via the simple mail transmission protocol SMTP (e-mail) through B s server, unknown to B Another variation of the process can use the Domain Name Service (DNS) as a two-way covert communication channel: the applet sends a call to a ctitious name, which lies within the attacker s domain The attacker s system recognises this dummy name It is possible to use this method repeatedly to open up a two-way communication channel between the user s machine and the attacker s Methods such as these have been used to extract credit card details from a client PC..

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When this page runs, the initial value of Dummy Value is changed by the assignment inside the jspInit method. In a real-world application, you would not see one simple String value overriding another, as is seen in this listing. You might override the Dummy Value with information retrieved from a bean or a database, depending on your application needs. Rather than show you the vast amount of code generated by the JSP translator here, please take my word that this generated servlet contains a jspInit method.

if t support(R), otherwise,

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