Habib, S., and Akram, M., Medical decision support systems based on fuzzy cognitive maps, International Journal of Biomathematics, 12(6)(2019), 1950069. Habib, S., and Akram, M., Diagnostic methods and risk analysis based on fuzzy soft informa- tion, International Journal of Biomathematics, 11(8)(2018), 1850096. Habib, S., and Akram, M., and Ashraf, A., Fuzzy climate decision support systems for tomatoes in high tunnels, International Journal of Fuzzy Systems, 19(3)(2017), 751-775. H., Application of fuzzy algorithms for control of simple dynamic plant, In Proceedings of the institution of electrical engineers, 121(12)(1974), 1585-1588, IET. Zadeh L.A., The concept of linguistic variable and its application to approximate reasoning I, Information Sciences, 8(1975), 199-249. Galvin, P.B., Gagne, G., and Silberschatz, A., Operating system concepts, John Wiley & Sons, (2003). Sarwar, S.M., and Koretsky, R.M, UNIX: the textbook, CRC Press, (2016). The proposed ffind(1) command once added in the /bin directory of any UNIX based system will allow the users of the system to make use of the more powerful and flexible features of ffind(1) in order to search for files and directories in a more user friendly or fuzzy way, which is the way humans thinks. The results show that the proposed ffind(1) command performs significantly better than the vanilla flavour find(1) command. The proposed study designed an algorithm that demonstrates the complete working of ffind(1) command and also compare the standard UNIX find(1) command with the novel ffind(1) command using different data sets. Moreover, the user can also give a threshold value to see the sorted list of files that are a close match to the given selection criteria. These crisp differences of each file are input to our proposed fuzzy logic controller, which finally generates a crisp selection index (S.I.) value for each file. The ffind(1) command converts the file timestamps (number of seconds passed since UNIX epoch) into days, and then the difference between user given value and each of the file’s timestamp is calculated. The user specifies the search criteria which can be any of the three times in days, the ffind(1) command recursively reads the timestamps from inode blocks of all the files under the given directory hierarchy. The FLC of the novel fuzzy-find (ffind(1)) shell command is written in C language, and it can locate files and directories using three associated timestamps (mtime, ctime, and atime). The interface of the proposed ffind(1) command is more user friendly and efficiently handles imprecise conditions. This research article propose a novel fuzzy logic controller (FLC) for fuzzification of the standard UNIX find(1) command.
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