In practical linguistic multi-criteria group decision-making (MCGDM) problems, words may indicate different meanings for various decision makers (DMs), and a high level of consensus indicates that most the members are satisfied with final solution. This study aims at developing novel framework considers personalized individual semantics (PISs) DMs to tackle single-valued neutrosophic MCGDM prob...

The existing methods for solving the group decision making (GDM) problems with preference relations generally include four steps: (1) estimation of missing preferences, (2) consistency and consensus reaching, (3) aggregation and (4) exploitation, which make the GDM process complicated. Relatively, very few research results focus on exploring the methods which can simplify this process to improv...

In this paper, we investigate the multiple criteria group decision making (MCGDM) problems in which decision makers (DMs)’ preferences on alternatives (criteria) are depicted by triangular fuzzy numbers and take the form of incomplete reciprocal comparison matrices. We aim to develop integrated methodologies for the MCGDM problems. First of all, we develop a triangular fuzzy power geometric (TF...

Abstract With the rapid development of information technology and social network, large-scale group decision-making (LSGDM) has become more popular due to fact that large numbers stakeholders are involved in different decision problems. To support consensus-reaching process (LCRP), this paper proposes a LCRP framework based on clustering method with historical preference data all makers (DMs). ...

Interval linguistic term (ILT) is highly useful to express decision-makers’ (DMs’) uncertain preferences in the decision-making process. This paper proposes a new group (GDM) method with interval fuzzy preference relations (ILFPRs) by integrating ordinal consistency improvement algorithm, cooperative game, Data Envelopment Analysis (DEA) cross-efficiency model, and stochastic simulation. Firstl...

of master's thesis Abstract: Methods of multi-criteria decision analysis (MCDA) provide normative support for decision making processes. Out of these methods, Robust Portfolio Modeling (RPM) helps decision makers (DMs) to select the best possible subset or portfolio of available projects in the presence of scarce resources. The RPM methods provide a computationally efficient way of generating n...

In this article, we have proposed a multi-attribute group decision making (MAGDM) with new scenario or condition named Chaotic MAGDM, in which not only the weights of makers (DMs) and attributes are considered, but also familiarity DMs considered. Then applied weighted neutrosophic fuzzy soft rough set theory to MAGDM algorithm for MAGDM. Moreover, provide case study demonstrate application alg...

This paper reports a new idea-screening method for new product development (NPD) with a group of decision makers having imprecise, inconsistent and uncertain preferences. The traditional NPD analysis method determines the solution using the membership function of fuzzy sets which cannot treat negative evidence. The advantage of vague sets, with the capability of representing negative evidence, ...

With high uncertainty and vagueness in the decision-making process, maintaining consistency decision matrix is an open challenge. Previous studies on intuitionistic fuzzy (IF) theory focused of preference relation but ignored matrix. In this article, efforts are made to propose a new duo-stage framework context IF set better circumvent Often, makers (DMs) hesitate provide certain values that fi...

Data envelopment analysis (DEA) is one of the widely used methods to measure efficiency scores decision making units (DMUs). Conventional DEA unable consider both uncertainty in data and makers’ (DMs) judgments evaluations. This study, address shortcomings conventional DEA, proposes a new best worst method (BWM)- robust credibility (BWM-RCDEA) model estimate DMUs considering DMs’ preferences un...