A purchasing inventory model with shortages where carrying cost, shortage cost, setup cost and demand quantity are considered as fuzzy numbers. The fuzzy parameters are transformed into corresponding interval numbers and then the interval objective function has been transformed into a classical multi-objective economic ordering quantity (EOQ) problem. To minimize the interval objective function...

Fuzzy sets theory might provide the flexibility needed to represent the uncertainty resulting from the lack of knowledge [1-3]. The fuzzy preference relation is a kind of representation of the information about provided by the decision maker [4-6]. It is an important research topic how to choose an optimal alternative or rank alternatives from a finite set of alternatives according to the fuzzy...

The priority method of interval fuzzy preference relation is studied. A linear programming(LP) model based on multiplicative transitivity is constructed to derive interval weights from consistent or inconsistent interval fuzzy preference relation. By solving only one LP model, the proposed method can get the interval weights from an interval fuzzy preference relation, which can reduce the amoun...

In order to standout from competition in the global market, companies must rely on competent suppliers. The supplier development program is designed to create and maintain a network of competent suppliers, which has a major influence on the competitive advantages of a buying company. The existing literatures on supplier development all adopt “one-size-fit-all” strategies. However, to allocate s...

Aggregating measure scores is an important step in multiple criteria decision-making, determining the overall effectiveness from dissimilar measures. One of the most popular aggregating methods is Simple Additive Weighting (SAW), which assigns weights to measures based on subjective preference information, and sum weighted scores up. The quality of overall score is highly dependent on the quali...

Reconstructing a signal from squared linear (rankone quadratic) measurements is a challenging problem with important applications in optics and imaging, where it is known as phase retrieval. This paper proposes two new phase retrieval algorithms based on non-convex quadratically constrained quadratic programming (QCQP) formulations, and a recently proposed approximation technique dubbed feasibl...

Fuzzy Dynamic Programming approach to the solution of unit commitment problem is presented and described in detail. The Fuzzy Dynamic programming provides the ‘fuzzy’ preference in obtaining an optimal solution in the presence of conflicting objectives and constraints. The Fuzzy dynamic programming handles one objective (i.e. minimization of operational cost) and two constraints (i.e. generatio...

A fuzzy option prioritization technique is developed to efficiently model uncertain preferences of DMs in strategic conflicts as fuzzy preferences by using the decision makers’ (DMs’) fuzzy truth values of preference statements at feasible states within the framework of the Graph Model for Conflict Resolution. The preference statements of a DM express desirable combinations of options or course...

Linear bilevel programming is a decision making problem with a two-level decentralized organization. The leader is in the upper level and the follower, in the lower level. This study addresses linear bilevel multi-objective multi-follower programming (LB-MOMFP) problem, a special case of linear bilevel programming problems with one leader and multiple followers where each decision maker has sev...