Large-scale multiple criteria decision-making with missing values: project selection through TOPSIS-OPA
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ORIGINAL RESEARCH
Large‑scale multiple criteria decision‑making with missing values: project selection through TOPSIS‑OPA Amin Mahmoudi1 · Xiaopeng Deng1 · Saad Ahmed Javed2 · Jingfeng Yuan1 Received: 26 June 2020 / Accepted: 25 October 2020 © Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract Nowadays, with the development of information management infrastructures in organizations and the improvement of the data storage process, managers are looking for appropriate decision-making methods based on large volumes of data. Therefore, it is crucial to choose the right approach to make the right decisions based on the volume of available data. The present study seeks to provide a comprehensive framework for the decision-making process using big data, even when it is incomplete. The framework of multiple criteria decision making (MCDM) consists of criteria and alternatives, whereas in real-world cases, decision-makers may face several criteria and alternatives. In this study, the Principal Component Analysis (PCA) approach was selected for the criteria clustering. Later, the K-means algorithm is used to cluster the alternatives, which estimates the optimal number of clusters using the Elbow method. The Fuzzy TOPSIS (TOPSIS-F) and Ordinal Priority Approach (OPA) have been used to rank clusters. Ultimately, the best alternative in the top cluster has been identified with the aid of the OPA, which has a unique function to solve MCDM problems with incomplete data. For evaluating the performance of the proposed approach, first, a pilot testing has been executed on a real-world case, and then a practical study was conducted at a refinery equipment manufacturing company with a project-oriented organizational structure. The approach is flexible, interactive, intelligent, and integrative, and significantly reduces the time and computation costs for the decision-makers. The results confirmed the soundness of the proposed approach, which can be used by managers of different companies with confidence. Keywords Big data · Intelligent multiple criteria decision making · Ordinal priority approach · Project selection problem · K-means, Fuzzy TOPSIS
1 Introduction These days, the technology of decision-making is essential in different industries and has a significant impact on the success of organizations. Managers’ decisions can influence the future of the organization in the short and long term. Depending on the conditions and available data in each organization, the decision-making process can be different. Multiple criteria decision making (MCDM) is one of the * Xiaopeng Deng [email protected] Amin Mahmoudi [email protected] 1
Department of Construction and Real Estate, School of Civil Engineering, Southeast University, Nanjing 210096, China
School of Business, Nanjing University of Information Science and Technology, Nanjing 210044, People’s Republic of China
2
most common challenges in the real world that consists of several alternatives and criteria (Mahmoudi et al. 2020c). Until now, diffe
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