# REDUCE--A Tool Supporting Inconsistencies Reduction in the Decision-Making Process
## 4 Conclusions  
This article provides an analysis of the REDUCE software, a decision-support tool designed to manage multiplicative pairwise comparisons and reduce inconsistencies. REDUCE has been developed with flexibility and efficiency in mind, allowing for effective decision-making management. The analysis of both the front-end and back-end layers highlights the tool's complexity and technological advancement. The chosen technologies have been well justified, aligning with the project's goals:  
* User-friendly interface;
* Application of at least two methods for inconsistency reduction;
* System available online via webpage;
* Visual presentation of processed data and obtained results; \begin{table}
\begin{tabular}{l l l l} \hline \hline
**Software** & **Key Features** & **Advantages** & **Disadvantages** \\ \hline \multirow{8}{*}{REDUCE} & Free online & \multirow{4}{*}{Free to use; accessible} & Limited features \\  & decision-making tool with & Free to use; accessible & compared to \\  & support for inconsistency & online without & commercial software; \\  & reduction in pairwise & installation; focuses on & currently supports \\  & comparisons; offers & inconsistency reduction; & only two \\  & algorithms for & suitable for small and & inconsistency \\  & inconsistency reduction; & medium enterprises; & reduction algorithms; \\  & supports AHP to & user-friendly interface & lacks advanced AHP \\  & some extent & & functionalities \\ \hline \multirow{8}{*}{Expert Choice [124]} & Comprehensive & Well-established and & Expensive; may be \\  & decision-making software & trusted; rich feature set; & unaffordable for \\  & based on AHP; provides & advanced analysis and & small and medium \\  & various tools for modeling, & reporting capabilities; & enterprises; requires \\  & analyzing, and & support and training & installation; steep \\  & visualizing decisions & available & learning curve \\ \hline \multirow{8}{*}{Qvistorp [126]} & Strategic planning and & Advanced financial & High cost; may be \\  & investment decision & modeling; supports & overly complex for \\  & software; focuses on & complex investment & making; less focus on \\  & financial modeling & decisions; provides & inconsistency \\  & and evaluation & strategic planning tools & reduction in pairwise \\ \hline \multirow{8}{*}{Paramount Decisions [127]} & Web-based & \multirow{2}{*}{User-friendly interface;} & Subscription-based; \\  & decision-making tool & & promotes transparency \\ \cline{1-1}  & using choosing by & and collaboration; & analytical features; \\ \cline{1-1}  & advantages (CBA) & accessible online; & less focus on pairwise \\ \cline{1-1}  & methodology; facilitates & suitable for group & comparisons and \\ \cline{1-1}  & collaborative decision & & decision \\ \cline{1-1}  & making & & \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Comparison of REDUCE with existing decision-making tools. * The use of developer's tools based on: Flask, Apache, Python, NumPy, SciPy, SymPy, and jQuery;
* Safe and secure server system. The conducted security, compatibility, and performance tests confirm that the application meets required standards and is resilient to various types of attacks. The application has successfully passed validation against W3C HTML and W3C CSS standards and the WCAG 2.1 accessibility standard. There is a clear path for further development and commercialization of the software. Market needs and target market analysis reveal opportunities for expansion and adaptation of the tool for various applications. In this context, it is noteworthy that the software has already been recognized in the literature [136], highlighting key features such as flexibility and efficiency, as well as its significance in decision-making processes. Recognition by other researchers confirms its value and potential for further development and application in various research and practical contexts. In summary, REDUCE represents a significant advancement in the field of decision support and inconsistency reduction.