in this research, we address the application of uncertaintyprogramming to design a multi-site, multi-product, multi-period,closed-loop supply chain (clsc) network. in order to make theresults of this article more realistic, a clsc for a case study inthe iron and steel industry has been explored. the presentedsupply chain covers three objective functions: maximization ofprofit, minimization of n...

• A methodology is proposed for selecting the best option Pareto solutions. Multi-objective optimization and multi-criteria decision-making methods are integrated. The model provides an optimal electric vehicle supply equipment type at workplaces. WASPAS improved by introducing Dombi Bonferroni functions flexibility. This study addresses planning of charging infrastructure As a given workplace ...

The objective of this work is to present a triangular interval type-2 (TIT2) intuitionistic fuzzy sets and their corresponding aggregation operators, namely, TIT2 intuitionistic fuzzy weighted averaging, TIT2 intuitionistic fuzzy ordered weighted averaging and TIT2 intuitionistic fuzzy hybrid averaging based on Frank norm operation laws. Furthermore, based on these operators, an approach to mul...

unsuccessful experiences of two major exhibitions with more than 300 investment projects in mashhad organized with municipalities in 2010 and 2011 and weak implementation of 20 projects, propose the use appropriate methods to identify themes and patterns for components investment projects. this study aims to determine the priorities for investment in the district three of mashhad municipality. ...

energy is a critical factor to obtain a sustainable development for countries and governments. selection of the most appropriate energy alternative is a completely critical and a complex decision making problem. in this paper, an integrated multi-criteria decision-making (mcdm) methodology based on type-2 fuzzy sets is proposed for selection among energy alternatives. then a roadmap has been cr...

introduction: due to irregular growth and expansion of cities, especially in developing countries, various issues and difficulties have arisen in different economic, social and ecological fields and various measurements and approaches in order to supply desirable conditions for today and future generations. healthy city approach is one these approaches as today it’s a new mechanism proposed by ...

the stock selection problem is one of the major issues in the investment industry, which is mainlysolved by analyzing financial ratios. however, considering the complexity and imprecise patterns ofthe stock market, obvious and easy-to-understand investment rules, based on fundamental analysis,are difficult to obtain. fundamental and technical analyses are two common methods for predictingthe fu...

contractor selection is one of the most important problem in supply chain and itsstrongly effect on firm`s performance. because a significant amount of auniversity`s budget assigns to construction contracts, contractor selection is animportant problem for the financial status of universities. since contractor selectionis a multi-criteria decision making problem (mcdm), lots of methods proposed ...

in this paper, a model has been provided for selecting right portfolio in stock exchange. the ranking of financial industries and companies has been applied for the selection of the right stock in this model. these rankings have been done through promethee decision- making method. technical analysis aims to determine the right time to buy and sell the superior stocks. a survey study is also don...

In the science of operation research and decision theory, selection is the most important process. Selection is a process that studies multiple qualitative and quantitative criteria, related to the science of management, which are mostly incompatible with each other. The multi criteria selection of a renewable energy portfolio is one of the main issues considered in multi criteria literatur...