Articles

Establishing the program to predict Shirt Sizes with Fuzzy Logic

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This paper presents a program for prediction shirt size with a fuzzy logic technique. The Mamdani model is applied to a MISO fuzzy system with two inputs and one output. Neck girth and sleeve length are chosen as the primary dimensions, serving as input variables for this simulation model. In this study, fuzzy logic is used to select the size of the Min-Max rule. The IF-THEN structure is applied to execute commands effectively within this model. The outcome is an appropriate size. The program’s fuzzy rule matrix consists of 45 rows and 5 columns. Each row is a fuzzy rule. The first column represents the 9 sizes of necklaces. The second column represents the 5 groups of sleeve lengths. The third column represents the 9 predicted sizes in the output. The fourth column is the weight coefficient. The last column represents the logical connection type. The fuzzy logic approaches significantly reduces the time required. This approach provides an alternative method for prediction sizes that more accurately align with individual body measurements, offering a personalized fit.

Applications of Fuzzy Decision Support Systems in Human Resource Management by using TOPSIS approach

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Objectives: To address the relevance of human resource management as well as the impact that the administration of this component of a company on the operation of that firm. In addition, to describe how to facilitate this process by making use of decision support systems, which are tools that can be applied to improve the results section.

Method: The theory that underpins the decision support systems is referred to as the TOPSIS (Technique for order of preference by similarity to ideal solution) approach, and it is a well-known method. In his paper, we discussed how the fuzzy and TOPSIS techniques will  be used to provide interesting results.

Findings: Applicability of fuzzy TOPSIS approach in effective HR Decision making process in the areas of planning and administrative management.

Novelty: The numerous beneficial properties of the fuzzy technique can be utilized in the field of human resource management. The use of the fuzzy- TOPSIS approach increases the selection performance of employers and makes managerial decision-making easier.