Seyed Meysam Mousavi

Interval-valued Pythagorean fuzzy sets (IVPFSs) as enhanced type of Pythagorean fuzzy sets (PFSs) improve the expression of the degrees of membership, non-membership and hesitancy in comparison with intuitionistic fuzzy sets (IFSs). In this paper, to use the advantages of IVPFSs a new group decision-making method is introduced based on linear assignment method (LAM). In this approach, subjective and objective weights of criteria are taken into account. Moreover, the method applies a new ranking method for IVPFSs. To avoid the shortcomings of first aggregation methods, the introduced decision-making approach involves a last aggregation approach. Finally, the method is used in a case study of sustainable project evaluation in order to depict the applicability of this method.

Resource constrained project scheduling problem with multiple routes for flexible project activities (RCPSP-MR) is a generalization of the RCPSP, in which for the implementation of each flexible activity in main structure of the project, several exclusive sub-networks are considered. Each sub-network is regarded as a route for the flexible activity. The routes are considered for each flexible activity that are varied in terms of: 1) Number of activities required to execute; 2) Precedence relationship between activates; 3) Allocation of different renewable and nonrenewable resources to each activity; and 4) Effectiveness on the duration and cost of project completion. In this paper, a new mathematical formulation of RCPSP-MR is firstly presented. Then, two solving approaches based on particle swarm optimization (PSO) and genetic algorithm (GA) are proposed to minimize costs of project completion. To evaluate the effectiveness of these proposed approaches, 50 problems (in very small, small, medium, and large-sized test problems) are designed and then are solved; Finally, comparisons are provided. Computational results show that the proposed GA generates high-quality solutions in a timely fashion.

The one of the main problems that students have faced with are the accommodation problems. In this paper, we review problems that may occur in university systems. Also, we use strategic options development and analysis method (SODA) to represent the accommodation problems and to create an agreement between student and staff. This method can help us with achieving goals; because in the same situation, there are different viewpoints for various reasons. By plotting the cognitive maps of involved persons and aggregating all cognitive maps, this methodology reaches us to a consensus. The aggregated cognitive maps are called strategic maps. Finally, with the relational clustering the strategic map, we offer some suggestions to improve the accommodation system in each university.

Risk management of port projects relies on the sequential analysis of management activities, which results in project-specific responses for reducing risk. Risk assessment has previously been investigated in port projects; however, it is still comparatively neglected due to the complexity of the risk assessment process with nonparametric resampling methods and interval computations. In risk assessment, required data and experts’ judgments often are limited. Moreover, statistical distributions of parameters, which play a significant role, are usually unknown. Hence, traditional approaches do not have enough accuracy to assist such problems. This paper presents a novel compromise ranking approach based on bootstrap confidence intervals for the risk assessment in port projects. The ranking of project risks is obtained through comparison of interval numbers based on bootstrap resampling method according to a new weight of the strategy for the majority of risk assessment criteria and optimism level of ...