1) MEME doesn't do motif search, it does motif discovery. That is, you give it a collection of sequences that you
think contain a common motif, but you don't know what the motif is. MEME then returns the most plausible candidates for the motif.
FIMO does motif search, that is, you provide a motif and collection of sequences and FIMO returns the locations in the sequences that match the given motif, with a match score p-value higher then a user chosen threshold. I'm afraid I'm still not entirely sure what you mean by "I have to do motif search in a Single nucleotide polymorphism sequence". The key point about motif search is that it doesn't require an exact match at every position. Rather is compares each point in the sequence with the position weight matrix for the motif. If you want to search for matches to either CCAGTTCTTTTAGCC or CCAGTTCATTTAGCC, you could type that into FIMO as a motif as CCAGTTC[AT]TTTAGCC, which would allow either A or T at the 8th position.
2) None of the MEME Suite tools directly evaluate transcription factor binding, but the FIMO match score can be used as a proxy to compare binding for a single motif at two positions. The higher the score, presumably the stronger the binding. However, the scores are not calibrated, so you can't compare binding of two different motifs. Of course the accuracy of the FIMO match scores depends on the accuracy of the motif you search with.