Hierarchical structures and uncertainty measures are two main aspects in granular computing, approximate reasoning and cognitive process. Typical hesitant fuzzy sets, as a prime extension of fuzzy sets, are more flexible to reflect the hesitance and ambiguity in knowledge representation and decision making. In this paper, we mainly investigate the hierarchical structures and uncertainty measure...

Hierarchical decision models are a general decision support methodology aimed at the classification or evaluation of options that occur in decision-making processes. They are also important for the analysis, simulation and explanation of options. Decision models are typically developed through the decomposition of complex decision problems into smaller and less complex subproblems; the result o...

We study the role of hierarchical structures in a simple model of collective consensus formation based on the bounded confidence model with continuous individual opinions. For the particular variation of this model considered in this paper, we assume that a bias toward an extreme opinion is introduced whenever two individuals interact and form a common decision. As a simple proxy for hierarchic...

Due to the condition of the current global environment, organizations have to compete not only with single companies, but also with Supply Chains (SC) or Collaborative Networks (CN). In this sense, companies that make up this kind of organizations have to integrate their processes and must collaborate with each other in order to be competitive. To achieve this goal, companies have to deal with ...

We study the role of hierarchical structures in a simple model of collective consensus formation based on the bounded confidence model with continuous individual opinions. For the particular variation of this model considered in this paper, we assume that a bias towards an extreme opinion is introduced whenever two individuals interact and form a common decision. As a simple proxy for hierarchi...

this paper addresses a multi-criteria decision based methodology to develop a road network cost function for route finding analysis in a geographic information system (gis). over the years, several studies relating to route planning process in gis and intelligent transportation systems (its) have been conducted, most of which rely on the use of one-dimensional variables like distance or time as...

here, we propose a fuzzy analytic hierarchy process (fahp) method to evaluate the alternatives of enterprise resource planning (erp) system. the fuzzy ahp approach allows the users get values more accurately to model the vagueness which changes according subjective ideas in the decision-making environment for erp system selection problem. therefore, fuzzy ahp method is used to obtain firm decis...