Many decision tasks in disaster management are concerned with spatial patterns and spatial decision problems often require that a large number of feasible alternatives be evaluated based on multiple criteria. Although Geographical Information Systems (GIS) provide extensive spatial analysis and data visualization power to users, such systems offer a limited capacity for tackling complex spatial...

in recent decades, as a result of population growth, industrial developments, scarcity of sources, etc. more attention has been paid to spatial planning. spatial planning needs the consideration of different goals, scenarios, criterions and constraints, which leads us to the usage of spatial multi-criteria decision analysis (mcda) methods. the mail goal of this research is to develop a novel mo...

in the future, competitive advantages will be given to organisations that can extract valuable information from massive data and make better decisions. in most cases, this data comes from multiple sources. therefore, the challenge is to aggregate them into a common framework in order to make them meaningful and useful.this paper will first review the most important multi-criteria decision analy...

This chapter aims at a unified presentation of various methods of MCDA based on fuzzy measures (capacity) and fuzzy integrals, essentially the Choquet and Sugeno integral. A first section sets the position of the problem of multicriteria decision making, and describes the various possible scales of measurement (cardinal unipolar and bipolar, and ordinal). Then a whole section is devoted to each...

The aim of this paper is to present a combination ofNLP andMultiple Criteria Decision-Aid (MCDA) in order to reach an effective analysis when dealing with linguistic data from various sources. The coexistence of these two concepts has allowed us, based on a set of actions and criteria, to develop a coherent system that integrates the entire process of textual data analysis (no-voweled Arabic te...

Interval-valued fuzzy sets involve more uncertainties than ordinary fuzzy sets and can be used to capture imprecise or uncertain decision information in fields that require multiple-criteria decision analysis (MCDA). This paper takes the simple additive weighting (SAW) method and the technique for order preference by similarity to an ideal solution (TOPSIS) as the main structure to deal with in...

The resolution of complex decision situations in crisis and remediation management following a man-made or natural emergency usually requires input from different disciplines and fields of expertise. Contributing to transparency and traceability of decisions and taking subjective preferences into account, multi-criteria decision analysis (MCDA) is suitable to involve various stakeholder and exp...

This contribution is a summary of several conclusions drawn from discussions with some of the speakers and participants of the MCDA’74 Meeting (October 2011, Yverdon-les-Bains, Switzerland). In it, we explore the reasons for integrating MCDA and GIS and give an overview of the concrete works that have been achieved, the tools that are available and their use. This is not meant to be a state of ...

BACKGROUND Twin-to-twin transfusion syndrome (TTTS) affects 10-20 % of monochorionic diamniotic (MCDA) births and accounts for 50 % of fetal loss in MCDA pregnancies. This exploratory qualitative study identified shared experiences, including potential emotional and psychosocial impacts, of this serious disease. METHODS Forty-five publicly accessible, online stories posted by families who exp...

This work presents the use of a problem structuring method, Soft Systems Methodology (SSM), to structure a Multi-Criteria Decision Analysis (MCDA) model, aimed at appraising energy efficiency initiatives. SSM was useful to help defining clearly the decision problem context and the main actors involved, as well as to unveil the relevant objectives for each stakeholder. Keeney’s Value Focused Thi...