Employing an uninvestigated eight N-donor bitriazole ligand, 5'-(pyrazin-2-yl)-2H,4'H-3,3'-bi(1,2,4-triazole) (H2pzbtz), five complexes, {[Zn2(pzbtz)(SO4)(H2O)2]·2H2O}n (), {[Cd(pzbtz)]·3H2O}n (), [Zn3(Hpzbtz)2(SO4)2(H2O)6] (), [Co(Hpzbtz)2(H2O)2] () and {[Co2(pzbtz)2(H2O)2]·4H2O}n (), have been solvothermally synthesised by altering the reaction solvents and temperatures. Complex shows a three-dimensional (3D) framework with a very rare (3,5)-connected fsc-3,5-Cmce-2 topology. Complex exhibits a (4,4)-connected 3D pts framework with 1D channels. Complexes and are discrete trinuclear and mononuclear molecules, respectively. Complex presents a chiral 3D framework based on a novel trinuclear Co3(tr)4 cluster and features an unusual six-connected lcy topology. In the five complexes, H2pzbtz show a very variety of geometrical configurations and coordination modes. Due to the planarity of H2pzbtz, complexes display strong photoluminescence; in particular, features highly selective luminescent sensing for the Cu(2+) ion and nitrobenzene molecule. In addition, shows highly selective adsorption for CO2 over CH4, and exhibits antiferromagnetic exchange interactions among the Co(2+) ions.

Abstract:In data mining for knowledge explanation purposes, we would like to build simple transparent fuzzy models. Compared to other fuzzy models, simple fuzzy logic rules (IF ... THEN... rules) based on triangular or trapezoidal shape fuzzy sets are much simpler and easier to understand. For fuzzy rule based learning algorithms, choosing the right combination of attributes and fuzzy sets which have the most information is the key point to obtain good accuracy. On the other hand, the fuzzy ID3 algorithm gives an efficient model to select the right combinations. We therefore discover the set of simple fuzzy logic rules from a fuzzy decision tree based on the same simple shaped fuzzy partition, after dropping those rules whose credibility is less than a reasonable threshold, only if the accuracy of the training set using these rules is reasonably close to the accuracy using fuzzy decision tree. The set of simple fuzzy logic rules satisfied with this condition is also able to be used to interpret the information of the tree. Furthermore, we use the fuzzy set operator "OR" to merge simple fiizzy logic rules to reduce the number of rules.