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Stochastic multicriteria acceptability analysis (SMAA)
Stochastic multicriteria acceptability analysis (SMAA) is a family of methods for aiding
multicriteria group decision making in problems with uncertain, imprecise or partially missing …
multicriteria group decision making in problems with uncertain, imprecise or partially missing …
Evaluation of the Alzheimer's disease clinical stages under the optics of hybrid approaches in Verbal Decision Analysis
The decision making process is present in every moment of personal life, but other decisions
need a further analysis of a considerable number of factors is involved. The impact of each …
need a further analysis of a considerable number of factors is involved. The impact of each …
SMAA in robustness analysis
Stochastic multicriteria acceptability analysis (SMAA) is a simulation based method for
discrete multicriteria decision aiding problems where information is uncertain, imprecise, or …
discrete multicriteria decision aiding problems where information is uncertain, imprecise, or …
[HTML][HTML] A multicriteria decision aid-based model for measuring the efficiency of business-friendly cities
Local self-government has the task of enabling stable economic development, in addition to
enabling a normal quality of life for citizens. This is why the state government should provide …
enabling a normal quality of life for citizens. This is why the state government should provide …
Maximum likelihood solutions for multicriterial choice problems
VV Podinovski - European Journal of Operational Research, 2020 - Elsevier
We introduce the notion of a maximum likelihood optimal decision alternative for the choice
problem with a finite set of decision alternatives, assuming a general parametric preference …
problem with a finite set of decision alternatives, assuming a general parametric preference …
[PDF][PDF] GRA-TRI: A Multicriteria Decision Aid Classification Method based on Grey Relational Analysis.
Abstract Multicriteria Decision Aiding (MCDA) paradigm has been utilized in solving
classification problems, as well as ranking and selection problems. MCDA classification …
classification problems, as well as ranking and selection problems. MCDA classification …
OrclassWeb: a tool based on the classification methodology ORCLASS from verbal decision analysis framework
The decision making is present in every activity of the human world, either in simple day‐by‐
day problems or in complex situations inside of an organization. Sometimes emotions and …
day problems or in complex situations inside of an organization. Sometimes emotions and …
Consistency analysis in quality classification problems with multiple rank-ordered agents
ABSTRACT A relatively diffused quality decision problem is that of classifying some objects
of interest into predetermined nominal categories. This problem is particularly interesting in …
of interest into predetermined nominal categories. This problem is particularly interesting in …
P-UTADIS: a multi criteria classification method
In this chapter, a new multi criteria classification technique is presented. This method is a
developed/advanced UTilites Additives DIScriminantes (UTADIS) method which applies a …
developed/advanced UTilites Additives DIScriminantes (UTADIS) method which applies a …
Bipolar Fuzzy Nominal Classification (BFNC) framework: Application to risk analysis
Nominal classification (NC) is a subfield of multi-criteria decision making where an object (in
a broad sense) characterized by some attributes (with their valuation belonging to an …
a broad sense) characterized by some attributes (with their valuation belonging to an …