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Fuzzy Point Averaging of the GPS Position Components
The Mamdani-Style method with product is used for the inference process and the center of area method is employed for the defuzzification [3]. Based on the R.F. value, the more accurate positions are selected. B. Fuzzy System2 with GDOP The block diagram of proposed fuzzy system is shown in figure 4. The GDOP and the SNRs are used as input fuzzy variables to this fuzzy system. Fuzzy system output is defined as R.F. that according to its value, the more accurate positions are selected.  Figure 4. The block diagram of proposed fuzzy system2 GDOP and SNRs are divided into three and four segments for partition the rule space, respectively. R.F. is fuzzied with a singleton membership function. The membership functions are defined as figure 5.  Figure 5. Membership functions: (a) GDOP, (b) SNRs and (c) R.F. Twelve rules in the rule base are defined as table 2. Table 2. Twelve rules in the rule base of fuzzy system2 
The Mamdani-Style method with product is used for the inference process and the center of area method is employed for the defuzzification [4]. Based on the R.F. value, the more accurate positions are selected. |