Hierarchical Decision-making using a New Mathematical Model based on the Best-worst Method

Decision-making processes in different organizations often have a hierarchical and multilevel structure with various criteria and sub-criteria. The application of hierarchical decision-making has been increased in recent years in many different areas. Researchers have used different hierarchical decision-making methods through mathematical modeling. The best-worst method (BWM) is a multi-criteria evaluation methodology based on pairwise comparisons. In this paper, we introduce a new hierarchical BWM (HBWM) which consists of seven steps. In this new approach, the weights of the criteria and sub-criteria are obtained by using a novel integrated mathematical model. To analyze the proposed model, two numerical examples are provided. To show the performance of the introduced approach, a comparison is also made between the results of the HBWM and BWM methodologies. The analysis demonstrates that HBWM can effectively determine the weights of criteria and sub-criteria through an integrated model

A decision support system for product selection using hybridized Fuzzy-AHP TOPSIS methods

Ürün gamının çok geniş olduğu ürün aileleleri için talep edilen ürünün müşterinin isteği doğrultusunda; maliyet, kalite, fonksiyonellik gibi müşterinin ihtiyaçlarına/önceliklerine en iyi cevap verebilecek şekilde seçilmesi süreci karmaşık ve zahmetli bir Çok Kriterli Karar Verme (ÇKKV) problemidir. Bu çalışmada, Bulanık-AHP ve TOPSIS metotlarını kullanarak endüstriyel tip fan seçimi problemi için hibrit bir karar destek sistemi önerilmektedir. Önerilen model ile müşterinin taleplerine ve önceliklerine göre kriter ağırlıklarının Bulanık-AHP ile tespiti yapılmaktadır. Elde edilen kriter ağırlıkları kullanılarak TOPSIS yöntemi ile en iyi alternatifler sıralanmakta ve müşteriye sunulmaktadır.Product selection process requires perfect satisfaction of the customer needs and preferences in terms of quality, cost and functionality. Considering this aspects, it is a complex multi-criteria decision making problem. This statement is especially true for such product families with wide product variety. This study aims to design an interactive decison support tool for selecting industrial fans by employing a hybridized fuzzy-AHP and TOPSIS approach. With this work, an expert system for industrial fan selection is realized which collects customer’s requirements and preferences with Fuzzy-AHP and ranks the best fitting alternative products using TOPSIS approach

Towards an efficient and a more accurate web service selection using MCDM methods.

International audienc

Identifying the gaps between needs, expectations, and views of different stakeholders related to car-sharing, bike-sharing, and scooter-sharing systems

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