An Adoptable Multi-Criteria Decision-Making Analysis to Select a Best Hair Mask Product-Extended Weighted Aggregated Sum Product Assessment Method

Abstract

Hair masks (HMs) act as one of the solutions for most of the hair problems like dandruff, frizziness, breakage, premature- greying and so on. Due to its various benefits, HM products are acquiring more popularity among the individuals. As there are different varieties of HM products available in the market, the confusion arises in choosing a HM which suits the individual’s hair profile and causes less side effects. Here, we have employed multi-criteria decision-making (MCDM) combined with fuzzy set theory to obtain better results. We used the extended Weighted Aggregated Sum Product Assessment (WASPAS) method based on trapezoidal interval type-2 fuzzy set (TIT2FS) in this research paper to handle vagueness and complexity in real-world problems. For determining the objective weights of the criteria, we used the entropy method of weight finding. An example of selecting a hair mask product (HMP) among four alternatives based on five criteria is provided to illustrate the applicability of the proposed method. In comparison to other MCDM methods, the approach yielded more practical results. By doing a sensitive study, the method’s stability is also assessed.

Biofuel Production Plant Location Selection Using Integrated Picture Fuzzy Weighted Aggregated Sum Product Assessment Framework

“…As one of the newly developed approaches, weighted aggregated sum product assessment (WASPAS) [42] optimizes the weighted aggregated functions and ranks the options according to a compromise solution. The WASPAS method has been applied for a variety of purposes, such as sustainable project portfolio selection [43], foreign direct investment assessment [44], hair mask product selection [45], etc. The classical WASPAS method has been extended from q-rung orthopair fuzzy perspective.…”

“…Due to the broader range of PiFSs in handling the vague information, the current work focuses on the development of a new decision support system under the PiFS context and applied for assessing the locations for BPP construction. The decision-making methods assist the "decision-making experts (DMEs)" to make an optimal decision [45]. Some MCDM methods have been developed to solve the BPP location selection problem [8][9][10][11][12][13], but these studies have some drawbacks:…”