The advancement of computational intelligence has led to the increased application of
intelligent methods across various fields, including management, psychology, and machine …

We consider decision under uncertainty as a multi-attribute classification problem where a
set of acts is described by outcomes gained with given probabilities. The Decision Maker …

This paper presents an interactive procedure to aggregate each group member's
preferences when each group member articulates his or her preference information …

Preference–approval structure combines the preference information of both ranking and
approval, which extends the ordinal preference model by incorporating two categories of …

Preference transitivity characterized by ordinal consistency is a fundamental principle for
decision making models based on pairwise comparison matrices (PCMs). However, little …

Abstract The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is a
useful technique for solving Multi Attribute Group Decision Making (MAGDM) problems. In …

This chapter develops a group decision-making (GDM) method that considers group
consensus and multiplicative consistency of interval-valued intuitionistic fuzzy (IVIF) …

The ordinal interval number is a form of uncertain preference information in group decision
making (GDM), while it is seldom discussed in the existing research. This paper investigates …

In the realm of addressing consensus challenges within group decision-making (GDM) that
encompass individual preferences, this article presents an innovative approach. This article …

Computational intelligence is increasingly applied to complex decision-making challenges,
leveraging its data analysis prowess. Hybrid human-artificial intelligence models enhance …