Environmental decisions are complex as they multi-dimensional, highly interdisciplinary and not only involve multiple stakeholders with conflicting objectives, but also many possible alternatives uncertain consequences. The difficulty lies in making trade-offs between tough value on the one hand while appreciating impacts of other. To support tackling such problems, a combination multi-criteria...

The diviz software is a tool for designing, executing and sharing Multiple Criteria Decision Aid (MCDA) techniques. The target user community of diviz reaches from researchers who require to construct algorithmic workflows of elementary MCDA components to teachers who need to present MCDA methods and let their students experiment them. Besides, one of the principal features of diviz is to ease ...

The effects of climate change on infectious diseases are an important global health concern and necessitate decisions for allocation of resources. Economic tools have been used previously; however, how prioritization results might differ when done using broader considerations identified by local stakeholders has yet to be assessed. A multicriteria decision analysis (MCDA) approach was used to a...

This paper examines a decision support system (DSS) for the appraisal of complex decision problems using multi-criteria decision analysis (MCDA). The DSS makes use of a structured hierarchical approach featuring the multiplicative AHP also known as the REMBRANDT technique. The paper addresses the influence of the progression factor used when transforming the decisionmakers verbal responses from...

For the purpose of a product design or a project in general, weighting a set of comparable criteria has been proven to be of utmost importance (e.g. weighting product functions in value analysis VA -, and allocating a budget in a Design-ToCost project). Moreover the weighting problem is related to basic properties in the field of Multi-Criteria Decision Analysis (MCDA) through the notions of or...

In the environment impacts assessment context, several methods are proposed in literature, such as life cycle analysis, multi criteria analysis and cost benefit analysis etc. Recently, others methods combining MCDA (Multi Criteria Decision Analysis) and AI (Artificial Intelligence) have been explored to develop enhanced methodologies for knowledge based decision support. In this paper, a new ap...

Methods for dealing with incomplete preference information in hierarchical weighting models have continued to attract attention in the literature on multi-criteria decision analysis (MCDA). In this paper, we give a structured overview of several such methods which (i) accommodate incomplete preference information, (ii) offer dominance concepts and decision rules for the generation of decision r...

Multiple criteria decision analysis (MCDA) techniques are developed to address challenging classification problems arising in engineering management and elsewhere. MCDA consists of a set of principles and tools to assist a decision maker (DM) to solve a decision problem with a finite set of alternatives compared according to two or more criteria, which are usually conflicting. The three types o...

Multi-criteria decision-making/analysis is a vast field designed for solving decision-making problems. Due to the widespread use of many relevant MCDA/MCDM approaches and their frequent appearance in scientific papers, there particular gap regarding comprehensive software that should have components. Therefore, this paper proposes flexible library written Python 3 multi-criteria analysis/decisi...