MCDM is considered as a complex decision-making tool involving both quantitative and qualitative factors. In recent years, several fuzzy FMCDM tools have been suggested to choosing the optimal probably options. The purpose of this paper is to review systematically the applications and methodologies of the fuzzy multi decision-making (FMCDM) techniques. This study reviewed a total of 403 papers published from 1994 to 2014 in more than 150 peer reviewed journals (extracted from online databases such as ScienceDirect, Springer, Emerald, Wiley, ProQuest, and Taylor & Francis). According to experts’ opinions, these papers were grouped into four main fields: engineering, management and business, science, and technology. Furthermore, these papers were categorized based on authors, publication date, country of origin, methods, tools, and type of research (FMCDM utilizing research, FMCDM developing research, and FMCDM proposing research). The results of this study indicated that, in 2013, scholars have published papers more than other years. In addition, hybrid fuzzy MCDM in the integrated method and fuzzy AHP in the individual section were ranked as the first and second methods in use. Additionally, Taiwan was ranked as the first country that contributed to this survey, and engineering was ranked as the first field that has applied fuzzy DM tools and techniques.
Multiple-criteria decision making (MCDM) has grown as a part of operations research, concerning with designing computational and mathematical tools for supporting the subjective evaluation of performance criteria by decision makers (Banaitiene, Banaitis, Kaklauskas, & Zavadskas, 2008; Behzadian, Khanmohammadi Otaghsara, Yazdani, & Ignatius, 2012; Zavadskas, Skibniewski, & Antucheviciene, 2014). Several studies have been carried out to develop MCDM (Dadelo, Turskis, Zavadskas, & Dadeliene, 2014; Shyur & Shih, 2006; Yazdani-Chamzini, Shariati, Haji Yakhchali, & Zavadskas, 2014). In recent years several previous studies have employed MCDM tools and applications for solve areas problems such as engineering (Zavadskas, Antucheviciene, Hajiagha, & Hashemi, 2014), science (Zavadskas et al., 2014), technology (Bagocˇius, Zavadskas, & Turskis, 2014; Dadelo et al., 2014; Streimikiene, Balezentis, Krisciukaitiene˙ , & Balezentis, 2012). In real world, problems in regard to decision making are generally uncertain in a number of ways. Lack of information can lead to an unclear future state of the system. This uncertainty has been addressed using the probability theory and statistics. Though, in various situations of daily life; for evaluation, judgment, and decision, natural language is often employed in order to articulate thinking and subjective perceptions. In these natural languages, words might not have a clear and well-defined meaning. As a result, if the word is used as a label for a set, the boundaries of the set to which objects do or do not belong will become fuzzy. In addition, when individuals are judging an event, even using the same words, they may significantly differ since each of them has different subjective perception or personality.