Concept of Stratification (CST)
Concept of Stratification, coined CST by Prof Zadeh, was proposed in 2016.[1]. It is a reform in conventional problem-solving methods by the consideration of a recursive problem solving approach [2]. The key innovation in CST is that it considers the target first, and then the target is gradually enlarged to include the system which is aimed to receive the target. [3]. After the system is contained in the enlarged target, the target gradually shrinks to let the system find the target [4]. This method has similarities to the human mind problem solving and is expected to be employed widely in Artificial Intelligence (AI) in near future [5]
Asadabadi [6] designed this method as an application of the concept of stratification (CST) proposed in 2016 by Zadeh [7]. CST is a system that transitions through different strata of data using stationary states Asadabadi, M. R., Saberi, M., & Chang, E. (2018). The Concept of Stratification and Future Applications. Applied Soft Computing. </ref>. SMCDM uses this characteristic of CST and considers the decision as a system that transitions through different states which are located in different situations [8]
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- ↑ Zadeh, L. A. (2016). Stratification, target set reachability and incremental enlargement principle. Information Sciences, 354, 131-139.
- ↑ Asadabadi, M. R., Saberi, M., & Chang, E. (2018). The Concept of Stratification and Future Applications. Applied Soft Computing.
- ↑ Asadabadi, M. R., Saberi, M., & Chang, E. (2017, July). Logistic informatics modelling using concept of stratification (CST). In Fuzzy Systems (FUZZ-IEEE), 2017 IEEE International Conference on (pp. 1-7). IEEE.
- ↑ Asadabadi, M. R., Saberi, M., & Chang, E. Targets of Unequal Importance Using the Concept of Stratification in a Big Data Environment. International Journal of Fuzzy Systems, 1-12.
- ↑ Asadabadi, M. R., Saberi, M., & Chang, E. (2018). The Concept of Stratification and Future Applications. Applied Soft Computing.
- ↑ Asadabadi, M. R. (2018). The stratified multi-criteria decision-making (MCDM) method. Knowledge-Based Systems.
- ↑ Zadeh, L. A. (2016). Stratification, target set reachability and incremental enlargement principle. Information Sciences, 354, 131-139.
- ↑ Asadabadi, M. R., Saberi, M., & Chang, E. (2017, July). Logistic informatics modelling using concept of stratification (CST). In Fuzzy Systems (FUZZ-IEEE), 2017 IEEE International Conference on (pp. 1-7). IEEE.
In 2018, the first application of this concept in the area of multi criteria decision making (MCDM) methods was proposed, namely stratified multi criteria decision making (SMCDM)method.
References[edit]
1. Zadeh, L. A. (2016). Stratification, target set reachability and incremental enlargement principle. Information Sciences, 354, 131-139. 2. Asadabadi, M. R., Saberi, M., & Chang, E. (2018). The Concept of Stratification and Future Applications. Applied Soft Computing. 3. Asadabadi, M. R., Saberi, M., & Chang, E. (2017, July). Logistic informatics modelling using concept of stratification (CST). In Fuzzy Systems (FUZZ-IEEE), 2017 IEEE International Conference on (pp. 1-7). IEEE. 4. Asadabadi, M. R., Saberi, M., & Chang, E. Targets of Unequal Importance Using the Concept of Stratification in a Big Data Environment. International Journal of Fuzzy Systems, 1-12. 5. Asadabadi, M. R. (2018). The stratified multi-criteria decision-making (MCDM) method. Knowledge-Based Systems.https://doi.org/10.1016/j.knosys.2018.07.002
