A hybrid MCDM approach for selection of financial institution in supply chain risk management

Efficiency assessment and determining optimal low risk financial institution for monetary aid is among the crucial issues which multinational companies are facing in risk oriented supply chain. Supported by fuzzy-soft tools we present a hybrid model for assessing the uncertain fragile and risky structure of the financial sector which has direct impact on processing stages of supply chain network. By integrating Trapezoidal Interval based Type-2 fuzzy soft sets with Extended Type-2 TOPSIS we propose a first-hand approach to multi-criteria decision making problem. Using linguistic rating system, weights of risk criteria are assessed based on trapezoidal interval type-2 fuzzy soft sets. Through Type-2 TOPSIS, the paper proposes Euclidean distance between ideal solutions and relative degree of closeness as evaluative standard for ranking the financial alternatives. Finally, the largest six commercial financial institution of Indian Banking Sector are examined and validated on basis of five risk financial criteria´s. The proposed method furnishes the solution of decision problem with less computational effort.