The paper presents a generic procedure for construction of multi-dimensional utility in the case of mutual utility independence of base vector attributes, and of fuzzy rationality (i.e. when preferences of the decision maker only partially obey the rationality axioms). The procedure incorporates techniques for direct elicitation of multi-dimensional utilities, techniques for elicitation of one-...

Visual attributes, which refer to human-labeled semantic annotations, have gained increasing popularity in a wide range of real world applications. Generally, the existing attribute learning methods fall into two categories: one focuses on learning user-specific labels separately for different attributes, while the other one focuses on learning crowd-sourced global labels jointly for multiple a...

One of the modern paradigms to develop a system is object oriented analysis and design. In this paradigm, there are several objects and each object plays some specific roles. There is a sequence of activities to develop an analysis model. In the first step, we work in developing an initial use case model. Then in the second step, they identify a number of concepts and build a glossary of partic...

This article develops a methodological framework to provide insights regarding the suitability of multi-criteria techniques in the context of renewable energy planning. The second section presents main characteristics of the particular decision-making process. The third section presents the main multi-criteria analysis methods, and the fourth section reveals the requirements of the techniques f...

Urban areas provide the living space for the majority of the world population. Well-being and health within urban areas is influenced by environmental and socioeconomic variables. To analyze the potential health risk in cities one has to integrate multi-dimensional and multi-scale information describing socioeconomic, environmental and healthrelated attributes. The aim of this paper is to study...

The nested logit model has been used extensively to model multi-dimensional choice situations. A drawback of the nested logit model is that it does not allow choice alternatives to share common unobserved attributes along all the dimensions characterizing the multi-dimensional choice context. This paper formulates a mixed multinomial logit structure that accommodates unobserved correlation acro...

| Discretization can turn numeric attributes into discrete ones. Feature selection can eliminate some irrelevant and/or redundant attributes. Chi2 is a simple and general algorithm that uses the 2 statistic to discretize numeric attributes repeatedly until some inconsistencies are found in the data. It achieves feature selection via dis-cretization. It can handle mixed attributes, work with mul...

Printability, the capability of a 3D printer to closely reproduce a 3D model, is a complex decision involving several geometrical attributes like local thickness, shape of the thin regions and their surroundings, and topology with respect to thin regions. We present a method for assessment of 3D shape printability which efficiently and effectively computes such attributes. Our method uses a sim...

We discuss the design of multi-dimensional tender and auction mechanisms that combine Data Envelopment Analysis (DEA) and auction theory. The mechanisms select an agent to perform or acquire a project characterized by multiple attributes. The optimal configuration of the multiple attributes is settled endogenously by trading off the costs to the provider with the benefits to the acquiring. This...

Rough sets methodology is a useful tool for analysis of decision problems concerning a set of objects described in a data table by a set of condition attributes and by a set of decision attributes. In practical applications, however, the data table is often not complete because some data are missing. To deal with this case, we propose an extension of the rough set methodology to the analysis of...