## 1 Introduction  
Multiple criteria decision making (MCDM) is a field of study that deals with making decisions in complex and uncertain situations, where multiple objectives or criteria are involved. In such situations, it is often not possible or desirable to optimize for a single criterion, and instead, decisions need to be made by considering multiple criteria simultaneously [1]. MCDM provides a framework and tools for evaluating and ranking different alternatives based on multiple criteria, and for selecting the best option that satisfies the decision-maker's preferences and objectives. MCDM is widely used in many fields, including business, engineering, environmental management, and public policy. MCDM is a subset of MCDM that deals with situations where the decision-maker needs to choose the best alternative from a set of alternatives based on multiple attributes or criteria [2]. In MADM, the decision-maker needs to evaluate each alternative based on the same set of attributes or criteria, and then compare them to determine the best alternative [3]. Multi-criteria interactive decision-making (abbreviated as TODIM in Portuguese) is an MADM technique designed to address the ranking problem. TODIM contains aspects from both the aggregation approach and the outranking approach [4]. Fuzzy sets theory (FST) may lead to errors when translating accurate data into imprecise data. Hence, TODIM is a superior alternative to FST [5]. To determine objective criteria weighting, there are three main groups of methods that include subjective, objective, and integrated weighting [6, 7]. Subjective methods rely on the opinions of experts or stakeholder groups [8, 9, 7], while objective methods use data from the decision-making matrix to evaluate criteria and their relationships [10, 11, 12]. Integrated methods combine multiple weighting techniques and normalize the resulting data [13; 14; 15]. One objective method called the CRiteria Importance Through Intercriteria Correlation (CRITIC) does not require input from the decision maker and is based on the difference in the structure of the judgment issue [16]. It is often used to determine the weight of qualities and does not require proof of attribute independence. Qualitative attributes can be converted into numerical variables for use in the computation process. The key novelty of this study is the introduction of a Psychological Behavioral Distance-based Decision-making Method approach. The proposed method is inspired by principles of Prospect theory and Regret theory as well as other traditional MADM methods. At the beginning, the Regret theory is applied to convert the decision matrix to under-risk utility and regret utility. Then, the distance-based correlation computations are used to define the objective weight of criteria. Additionally, the dominance of alternatives is determined via the psychological behavioral distance-based utility matrices. In other words, the proposed method can not only objectively establish the weight of criteria through distance correlations, but also provide a profound understanding of the decision maker's subjective psychology. As the practical contribution, the proposed method is applied to evaluate the acceleration of digital transformation in the healthcare services of the Association of Southeast Asian Nations (ASEAN). Identifying and providing public services to vulnerable individuals exposes governments and humanitarian groups to several obstacles [17; 18]. The goal of governments all over the world is to serve people with public services in a more effective manner by moving toward an open, bottom-up, agile, online, and integrated hierarchy of operations. Regardless of the current stage of digitalization, this will enable a new level of communication between citizens and their political representatives with many aspects such as education, non-communicable diseases, online transactional service, fiscal management, healthcare and citizens information.