We propose a new interval type-2 fuzzy (IT2F) programming method for risky multicriteria decision-making (MCDM) problems with IT2F truth degrees, where the criteria exhibit heterogeneous relationship and decision-makers behave according to bounded rationality. First, we develop technique calculate Banzhaf-based overall perceived utility values of alternatives based on 2-additive measures regret...

This paper investigates a continuous-time mean-variance portfolio selection problem based on log-return model. The financial market is composed of one risk-free asset and multiple risky assets whose prices are modelled by geometric Brownian motions. We derive sufficient condition for open-loop equilibrium strategies via forward backward stochastic differential equat...

Methods for the selection of a research and development (R&D) project portfolio have attracted considerable interest among practitioners and academics. However, these methods have found limited use in practice, partly because they have encountered difficulties in capturing uncertainties and interdependencies related to R&D projects. Motivated by these difficulties, we develop Contingent Portfol...

the hub location decision is a long term investment and any changes in it take considerable time and money. in real situations, some parameters are uncertain hence, deterministic models cannot be more efficient. the ability of two-stage stochastic programming is to make a long-term decision by considering effects of it in short term decisions simultaneously. in the two-stage stochastic programm...

the pupose of this paper is modeling of partial digest problem (pdp) as a mathematical programming problem. in this paper we present a new viewpoint of pdp. we formulate the pdp as a continuous optimization problem and develope a method to solve this problem. finally we constract a linear programming model for the problem with an additional constraint. this later model can be solved by the simp...

The main concern of all economic companies is the resources equipping and allocating them in different sectors with aim maximizing profit minimizing risk. Decentralization one important factors that reduce investment investors plan to create by carefully planning collecting sufficient information on situation analyzing various industries. As an enterprise, banks are looking for short- long-term...

abstract it is the purpose of this article to introduce a linear approximation technique for solving a fractional chance constrained programming (cc) problem. for this purpose, a fuzzy goal programming model of the equivalent deterministic form of the fractional chance constrained programming is provided and then the process of defuzzification and linearization of the problem is started. a samp...

research interests have been focused on the concept of penalizing jobs both for being early and for being tardy because not only of modern competitive industrial challenges of providing a variety of products at a very low cost by smoothing productions but also of its increasing and exciting computer applications. here, sequencing approaches of the mixed- model just-in-time production systems is...

The uncertainty of a financial market is traditionally dealt with probabilistic approaches. However, there are many non-probabilistic factors that affect the financial markets such that the return rate of risky assets may be regarded as fuzzy number, which is a powerful tool used to describe an uncertain environment with vagueness and ambiguity and some type of fuzziness. In this paper, the con...