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Measuring the quality on quantitative formats is the most essential task where the attention of researchers is strongly desired. Modelling the scaling measures based on various formats is highly essential to explore several statistical devices. In this paper we have developed some stochastic models for the scaling measures similar to Likert's format. Bivariate stochastic processes in the context of spreadsheet experimentation were considered to develop these models. Mathematical formulae for several statistical measures of decision scores are derived for multiple choice decision items. The modelling is extended to formulate optimization programming problems with the objectives of maximising the expected decision score and also to minimise the volatility in decision score. The decision parameters namely, number of optimal decision assignments can be derived through the developed Non-Linear Programming Problem (NLPP). Sensitivity analysis is carried out with reference to optimal managerial decision scores.

Managerial Decision scoring with Stochastic Programming on Selected Scaling Measures of Likert’s Format