## 5 Application of ZPLTS-ELECTRE II Method in Ontology Ranking
### Experimental Design
#### 5.1.1 Dataset  
The dataset used in the study is made up of nine ontologies pertaining to the mental health and well-being domain. In fact, the quality and state of mental well-being have seen a drastic decline in recent years [52; 53]. The World Health Organization (WHO) estimated that 6.6 billion people around the world suffered from at least one form of mental health disorder [54]. Therefore, the issue of mental health and well-being is a growing concern around the world. Moreover, the advent of COVID-19 has further worsened the matter [55]. It is clear that there is an urgent need to study and develop techniques for the automated monitoring and management of the state of mental well-being throughout the world. Ontologies may also play a role in the development of technologies and systems to facilitate and provide support structures for mental health issues. For this reason, this study focused on the selection and ranking of real-world ontologies that model knowledge pertaining to mental wellness. The ontologies were obtained from the BioPortal Ontology Repository [7] and include:  
1. The _Mental State Assessment Ontology (ONL-MSA)_--ONL-MSA is a module of the OntoNeuroLOG [56] ontology, which was developed in the NeuroLog ([[http://neurolog.i3s.unice.fr/](http://neurolog.i3s.unice.fr/)]([http://neurolog.i3s.unice.fr/](http://neurolog.i3s.unice.fr/)) accessed on 21 August 2022) project for enhancing the field of neuroimaging. The ONL-MSA ontology models knowledge pertaining to the mental state assessments. 2. The _APA Neuro Cluster Ontology (APANEUROCHUSTER)_--it models the APA neuropsychological and neurology and includes the Assessment Diagnosis, Neurosciences, Neurological Disorders, and Neuroanatomy categories. 3. The _Ontologia de Saide Mental (OSM)_--it is the Portuguese equivalent of Mental Health Ontology, it was developed to assist in managing the Psychosocial Care Network in the Brazilian context, enabling the creation of intelligent computational tools and the development of mental health indicators. 4. The _Mental Functioning Ontology (MF)_--it is an ontology that represents aspects of mental functioning, such as cognition and intelligence. 5. The _Alzheimer's Disease Ontology (ADO)_--it represents knowledge regarding [PERSON]'s disease. The main categories of the ontology include Health, Human, Neurologic Disease, and Neurological Disorder. 6. The _Neuroscience Information Framework Cell Ontology (NIFCELL)_--it is part of the Neuroscience Information Framework (NIF) project ([[http://neuinfo.org](http://neuinfo.org)]([http://neuinfo.org](http://neuinfo.org)) accessed on 21 August 2022). The NIFCELL ontology expresses knowledge regarding cells and cell types from the Neuroscience Information Framework Standard Ontology ([[https://bioportal.bioontology.org/ontologies/NIFSTD](https://bioportal.bioontology.org/ontologies/NIFSTD)]([https://bioportal.bioontology.org/ontologies/NIFSTD](https://bioportal.bioontology.org/ontologies/NIFSTD)) accessed on 21 August 2022). 7. The _Epilepsy Semiology Ontology (EPISEM)_--it was designed to capture the semiology of epilepsy. It models the signs and symptoms of epilepsy and represents the ictal, post-ictal, inter-ictal, and aura signs. 8. The _Cognitive Paradigm Ontology (COGPO)_ ([[http://www.cogpo.org/accessed](http://www.cogpo.org/accessed)]([http://www.cogpo.org/accessed](http://www.cogpo.org/accessed)) on 21 August 2022)--COGPO was developed to describe the experimental conditions within experiments related to the cognition and behavior of humans. The ontology defines the conditions of experiments in a standardized format. 9. The _Cognitive Atlas Ontology (COGAT)_ ([[https://www.cognitiveeatlas.org/](https://www.cognitiveeatlas.org/)]([https://www.cognitiveeatlas.org/](https://www.cognitiveeatlas.org/)) accessed on 21 August 2022)--COGAT models and characterizes the state of current thought in cognitive science through a set of mental concepts and tasks. The ontology represents users' knowledge with expertise in psychology, cognitive science, and neuroscience.