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Fuzzy-grey system is an ambiguous system where unclear, incomplete and only small data is available. Fuzzy Grey relational maps model the causal relation between complex systems. In this fuzzy model, the nodes are fuzzy while the edges are grey and they represent the grey causal relationship between two disjoint sets of concepts. Intelligence is one of the most admired and coveted features of human mind for, human intelligence has played a greater role in placing human beings at the top of the evolutionary pyramid of creation. Intelligence is widely accepted as hereditary, but at the same time there are researches going on to prove that it is also influenced by the beliefs the individual holds. In this paper, the causal influence between intelligence and self-beliefs is studied using Fuzzy Grey relational maps.

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In highly complex linear problems dealing with uncertainty, FCM are used to aid decision making. In multi criteria decision making (MCDM), intuitionistic fuzzy sets have been employed whereas interval valued intuitionistic fuzzy cognitive Maps are used in business decision making because of the increasing complexity of business environment. But IFS are mainly employed in MCDM. A new MCDM technique called combinative distance based assessment (CODAS) helps us to choose the alternative having the largest Euclidean and hamming distances from the negative ideal point. In this paper, a new integrated approach of combined FCM and multi criteria decision making-CODAS with IVIFCM. In order to find the effectiveness of the developed model, it is applied in the consumers perception of choice towards the selection of branded mobile phones.

In this paper, we have constructed a sequence of soft points in one soft set with respect to a fixed soft point of another soft set. The convergence and boundedness of these sequences in soft ∆-metric spaces are defined and their properties are established. Further, the complete soft ∆-metric spaces are introduced by defining soft ∆-Cauchy sequences.