risk response planning is one of the main phases in the project risk management and has major impacts on the success of a large-scale project. since projects are unique, and risks are dynamic through the life of the projects, it is necessary to formulate responses of the important risks. the conventional approaches tend to be less effective in dealing with the impreciseness of risk response pl...

A decision is often made in a group and decision makers often utilize fuzzy judgments in attempting to reach an optimal solution. In order to deal with the fuzziness of decision makers' judgments in solutions, this paper proposes a fuzzy group decision-making method for multi-objective decision problems. The method allows group members to express their fuzzy preferences for decision objectives,...

Over the years, various methodologies have been investigated and proposed to deal with continuous or numeric data which is very common in any application. With the increasing popularity of fuzzy representation, researchers have proposed to utilize fuzzy logic in decision trees to deal with the situations. This paper presents a survey of current methodology to design FDT (Fuzzy Decision Tree), v...

In this paper, we present a new method to handle fuzzy multiple attributes group decision-making problems. First, we construct fuzzy importance matrices for decision-makers with respect to attributes and construct fuzzy evaluating matrices for decision-makers with respect to attributes of the alternatives. Then, based on the fuzzy importance matrices and the fuzzy evaluating matrices, we can ge...

In this work, we present definition of intuitionistic fuzzy parameterized (ifp) intuitionistic fuzzy soft set and its operations. Then we define ifp-aggregation operator to form ifp-intuitionistic fuzzy soft decision making method which allows constructing more efficient decision processes. Keyword 0.1 Soft set, intuitionistic fuzzy set, intuitionistic fuzzy soft set, intuitionistic fuzzy param...

Group decision making methods such as Multi-Criteria Decision Making (MCDM) have been developed extensively, but their organizational use for group decision making has been difficult. According to Arrow’s Impossibility Theorem, one possible reason is that a group decision outcome could never satisfy every decision maker’s individual preference. This paper proposes a fuzzy GSS (Group Support Sys...

In this paper, the notion of a fuzzy vector of normalized weights is introduced, and its application in decision making models based on the weighted average operation is studied. The fuzzy vector of normalized weights represents a generalization of normalized fuzzy weights that authors formerly applied for modeling uncertain weights of criteria and/or uncertain probabilities of states of the wo...

the main purpose of this paper is to present a fuzzy multi-criteria decision making (fmadm) model for appropriate location selection of a health center. therefore, we identify sixteen criteria and sub-criteria for selecting a health center location. these criteria and sub-criteria have been obtained from literature reviews and practical interviews. this paper proposes a method which combines th...

Dimensional analysis, for multi-criteria decision making, is a mathematical method that includes diverse heterogeneous criteria into a single dimensionless index. Dimensional Analysis, in its current definition, presents the drawback to manipulate fuzzy information commonly presented in a multi-criteria decision making problem. To overcome such limitation, we propose two dimensional analysis ba...

Fuzzy logic and fuzzy set theory enable us to use experts’ uncertain (“fuzzy”) knowledge in decision making. The corresponding methods usually generalize known methods of decision making which are based on the crisp (non-fuzzy) knowledge about the environment. These crisp methods enable us to come up with a crisp decision: e.g., whether we should build a plant or not. When we generalize these m...