… unknown weight information using different types of information (eg, fuzzy set theory,
intuitionistic fuzzy set, hesitant fuzzy set, interval fuzzy set, neutrosophic set), there exist decision …

… By minimizing the divergence among the individual hesitant fuzzy decision matrices… weights
of decision makers can be derived. Then, based on all the individual hesitant fuzzy decision …

… model for solving group decision making fuzzy AHP problems. … weights are obtained that
represent inconsistency in the judgment data. It is this concern with identifying the unknown and …

… group decision-making problem with completely unknown weight of attributes, we need to
establish a weight model to search for an attribute weights … Reasonable weight values of the …

… , namely uncertain probabilistic linguistic simple weighted geometry (UPLSWG) operator
is … the completely unknown weights of criteria. Following this, a new extension of weighted …

… decisionmaking problem with neutrosophic assessment. We assume that the information
about attribute weights is incompletely known or completely unknown… -attribute decision-making …

… Section 4 gives the application of the proposed entropy measures to multi-criteria decision
making with completely unknown weights in the HFLTS Setting. This paper is concluded in …

… decision-making problems under risk with attribute weight known and a new decision approach
based on entropy weight … , the risk decision matrix is transformed into the certain decision …

… for criteria weights do not … new decision-making approach in which an attitude-based
Shannon entropy and regret/rejoice approach is utilized to calculate the criteria and agents’ weights…

… 3, a group decisionmaking method with completely unknown weights of … weights are
introduced to derive the weights of the experts and the attributes from intuitionistic fuzzy decision …