Stratified multi criteria decision making

The stratified multi criteria decision making method (SMCDM) is a multi criteria decision making (MCDM) method proposed in 2018 by Asadabadi. It brings a new insight to MCDM methods by considering the eventualities that may happen while a decision is being made. This method, unlike the existing multiple-criteria decision analysis, considers transition probabilities in the process of computing the weightings of criteria.
An illustrative example
Imagine that a person wants to rent a room and has the following criteria: location, budget, and the floor area of the house. If this person assigns single weighting of importance to each criterion and scores to the options with respect to each criterion, the best option can be selected using a range of existing MCDM methods. However, there are cases where the person considers some possible events, likely to happen in the near future, such as the likelihood of his girlfriend, for example, moving in, buying a pet, selling his vehicle, getting a loan, receiving a promotion. In each of these situation, the person may have different weightings of importance to assign to the criteria. SMCDM method considers the weightings of importance of the criteria associated with the probability of those events occurring and compute the value of each options, so that the option with the highest value is selected. Through this, the MCDM methods become more reliable and robust. The steps are set out in the figure.
Origin
Asadabadi designed this method as an application of the concept of stratification (CST) proposed in 2016 by Zadeh. CST is a system that transitions through different strata of data using stationary states. SMCDM uses this characteristic of CST and considers the decision as a system that transitions through different states which are located in different situations. The decision environment is stratified through this and eventualities are considered in the process of making a decision. Integrations of this method with other methods such as such as Analytical Hierarchy Process (AHP), Analytic Network Process (ANP), Elimination and Choice Expressing Reality (ELECTRE), Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE), Multi-criteria optimization and compromise solution (VIKOR)] Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), and Decision Making Trial and Evaluation Laboratory (DEMATEL) addresses various decision making problems.

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