The score function is used to compare intutionistic fuzzy numbers. In this paper, a novel score function of intuitionistic fuzzy sets (IFSs) is investigated. The novel score function was constructed by combining the polynomial and exponential functions working on the degree of membership and degree of non-membership of intuitionistic fuzzy sets.

The framework of this study start from the cassava farmers’ aspect, link with factors concerned from literature review and then grouping the suitable criteria and sub-criteria.

In this paper, in order to eliminate the above-mentioned problems, it has been tried to provide an approach using the Fuzzy Best-Worst method, called F-BWANP.

This study presents a methodology that integrates multi-objective optimization and multi-criteria decision making (MCDM) in order to enable construction decision-makers to select the most sustainable construction alternatives.

This paper aims to propose a new the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) approach based on SVCNSs to select the locations of distribution center.

This paper focused on the selection of suitable location for the information centre for seaweed farming in Southeast Maluku district, Indonesia.

The study results demonstrated that the proposed holistic approach can help decision makers (DMs) to choose a suitable transshipment network for IWM.

In this study, an integrated MCDM model is proposed to determine the best metropolitan city in Turkey for hosting of the Olympic Games. The contribution of this study is that there are very few studies related to the selection of hosting places for Olympic Games using MCDM methods

The current paper deals with incomplete Pairwise Comparisons (‘PWs’) when a large number of alternatives is evaluated.

This study presents a new hybrid framework based on the multi-criteria decision making in order to rank the potential site layout locations by consideration of the cost and safety criteria in the Mehr Construction Project in Tehran, Iran.

The present article focuses on a new approach to categorize inventory items using Modified similarity-based method. The proposed method is applied to the inventory data of raw materials from a renowned conveyor belt manufacturing company of West Bengal, India.

This paper proposed an integrated MCDM, to tackle the complicated factors in order to provide the best commodities on each sub-districts.

This paper proposes a model using Multi Criteria Decision Making (MCDM) tools viz., Grey Relational Analysis (GRA), Analytical Hierarchy Process (AHP) and Technique for Order Performance by Similarity to Ideal Solution (TOPSIS). GRA is used to shortlist the criteria from the available options, while AHP is used to assign weights to the criteria.