In this work we start by presenting a possible architecture for MultiCriteria Dynamic Decision Making (MCDDM) problems. Then we focus on contributions for the rating process because it involves two important aspects of any dynamic spatial-temporal decision problem: how to deal with uncertainty in dynamically changing input data and how consider different criteria importance, depending on criter...

most of data in multi-attribute decision making (madm) problems are changeable rather than constant and stable. therefore, sensitivity analysis after problem solving can effectively contribute to making accurate decisions. in this paper, we offer a new method for sensitivity analysis in multi-attribute decision making problems in which if the weights of one attribute changes, then we can deter...

This paper presents a structured methodology for Information Systems (IS) outsourcing decision problem. The problem of selection among candidate information systems of the IS can be formulated as Multi criteria decision making (MCDM) techniques. Thus, this paper proposes a fuzzy group decision making process to evaluate and select the appropriate Information System Project (ISP) based on fuzzy ...

The development of a new product is complicated multi-stakeholder process with significant risk failure. This particularly true in the medical device sector, where there are strict therapeutic, psychological, and normative constraints. article presents multi-criteria decision making called “Define, Prioritize, Measure, Aggregate” (DPMA). DPMA designed to help engineering managers during devices...

making an informed decision with regards to a suitable business location or site selection for organizations is becoming challenging for business decision makers globally; and even more challenging in business environment that are saddled with uncertainties. the continues raise of multiple criteria variation of site preferences has also necessitated the application of advanced decision making t...

In this paper, we introduce a possibilistic argumentation-based decision making framework which is able to capture uncertain information and exceptions/defaults. In particular, we define the concept of a possibilistic decision making framework which is based on a possibilistic default theory, a set of decisions and a set of prioritized goals. This set of goals captures user preferences related ...