## 1 Introduction
### The Structure of the Present Study  
The present manuscript is organized as follows:  
* In Section 1, an introduction is provided, along with a proposal for a novel system structure and methodologies that merge a CMSS with an IS, forming an integrated DSS.
* In Section 2, the focus is on the critical challenges and methodologies involved in managing data and improving the decision-making process in complex mission scenarios, elaborating on the development and organization of CMSSs and ISs. This section is organized into several sub-sections:
* Section 2.1 discusses the data requirements and structural design necessary for creating CMSSs.
* Section 2.2 outlines the specific data needs of operational specialists for successfully executing complex missions using CMSSs.
* Section 2.3 focuses on addressing the challenges associated with managing extensive datasets in ISs.
* Section 2.4 explores the unique aspects and design challenges of SSs.  
Section 2.5 covers the structured development of data cores for efficient information by describing five methodologies for organizing data and complex operational processes in DSSs.
* In Section 3, methodologies and structures used in a CMSS-based mission are comprehensively described, providing insights into its design, organization, and comparative advantages. This section is organized into several sub-sections, each dedicated to a different aspect of the mission, for example: 1. Section 3.1 introduces a mission-representative example, serving as a proof of concept for the CMSS.
2. Section 3.2 analyzes how data are structured and managed in the mission example, representing the first methodology applied within the CMSS framework.
3. Section 3.3 focuses on breaking down the mission content into themes or components, illustrating the second methodology in the CMSS approach.
4. Section 3.4 delves into the specific algorithms or processes used in designing the mission within the CMSS, highlighting the third methodology used.
5. Section 3.5 explores the goal-oriented aspects of the mission design, discussing how the mission's objectives are structured and achieved, representing the fourth methodology.
6. Section 3.6 describes a unique approach where thematic elements are prioritized over geographical or spatial considerations in mission planning, indicative of the fifth methodology in the CMSS.
7. Section 3.7 provides a comparative analysis of the CMSS with other existing systems or methodologies in the domain, highlighting its uniqueness and advantages.
* In Section 4, a detailed discussion explores various aspects of enhancing decision-making systems: 1. Section 4.1 emphasizes the importance of high-quality input in DSSs, CMSSs, and ISs.
2. Section 4.2 highlights the critical role and necessity of developing these systems.
3. Section 4.3 shifts focus to the efficient enhancement of data and procedural organization within these systems.
4. Section 4.4 examines the potential limitations and challenges associated with the proposed CMSS in depth.
5. Section 4.5 discusses practical considerations for implementing the CMSS framework in real-world applications.
6. Section 4.6 explores future perspectives and emerging trends in CMSS.
7. Section 4.7 explores the uncertainty in large-scale datasets and the role of fuzzy and interval data in enhancing DSSs.
* In Section 5, the conclusions of the present work are stated.
* This study is accompanied by Appendices A-E that offer detailed insights into various facets of the subject matter (e.g., organization and structuring of data within an IS, development and architecture of algorithms used in designing missions, mathematical equations, formulas, relationships, and expressions that enhance the understanding of the examined approaches, etc.)
* Lastly, a list of the references and relevant bibliographies used in the present study is given.