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Assignment of military personnel to positions is very demanding, primarily a manual process performed by detailers. Detailers try to satisfy needs and preferences of commands and personnel. In this paper, an analytic hierarchy process (AHP) and two sided matching based Decision Support System is proposed to assist detailers. The DSS is programmed t...
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... Later, Roth et al. (1993) introduced the matching theory in studying human resources issues and analyzed the matching between employees and positions. Korkmaz et al. (2008) established a hierarchical structure for the matching of military personnel and positions and established a matching decision support system based on the pairwise comparison information given by the person in charge of the position and the military personnel. Chen et al. (2016) refined the knowledge service supply and demand matching problem into a multi-attribute Two-ided Matching Decision-Making (TSMDM) problem based on language information, and proposed a method based on axiomatic design to solve the matching results. ...
In recent years, the two-sided matching theory has been applied in various fields. Its influence in the engineering field is becoming more and more significant. In the construction engineering context, from the contractor's perspective as the decision-maker, the mutual matching between project bidding and subcontractors is a complex and uncertain process. A suitable matching method needs to be selected according to the particular situation. Since this study requires considering both the highest satisfaction of parties and the weight of individual fulfillment, we use the two-sided matching theory to address the mutual matching between the engineering project bidding and subcontractor. At the same time, the Ordinal Priority Approach (OPA) is employed to determine the weights and evaluate the indicators of both parties and then determine the preference between the two parties, effectively avoiding the deviation caused by subjective influence in the process. As a result, a bilateral matching model is proposed with the highest satisfaction and considering individual satisfaction. Finally, an example is presented to verify the feasibility and effectiveness of the proposed model.
... In the partner selection process, virtual enterprises as finite rational human, their decision-making process is still based on the maximization of their own utilization, therefore, virtual enterprises in the cooperation process is always based on their own interests to make decisions, while constantly according to each other's strategies to optimize the strategy, in general, the two sides in the selection of the best mutual choice implied game behavior, and finally achieve a mutually satisfactory and balanced cooperative alliance, so as to complete the two-sided Matching process (Korkmaz et al. 2008;Jia, et al. 2022). For this reason, many scholars introduce game theory to study the twosided matching game model of virtual enterprise partners, for example, Ye et al. (2003) used game theory to establish a game model of core enterprises supervising partners' investment in building management information systems; Liu et al. (2014) combined transaction cost theory, game theory and resource dependence theory to establish a multistage dynamic game model of virtual enterprise partner matching partner matching multi-stage dynamic game model, and proposed a multi-attribute two-sided matching decision method based on game theory; Xin et al. (2016) constructed a two-stage non-repetitive game model to analyze the stability of cooperative alliances and the partner selection problem. ...
Partner selection and matching is a key part of virtual enterprise formation, which directly affects the growth and development of virtual enterprises. The selection and matching of virtual enterprise partners can be regarded as multi-attribute two-sided matching problem. This paper considers the current situation of attribute preferences in the mutual evaluation process of virtual partner selection, introduces a heterogeneous multi-attribute preference evaluation language system, analyzes the psychological behavior characteristics of both subjects in the decision-making process of selection and matching, gives the strategies and conditions of bilateral matching of virtual enterprise partners, and realizes an effective matching with balanced satisfaction of both virtual enterprise partners.
... Çarman and Tuncer Şakar [65] preferred AHP and set covering the approach to determine the locations of military surveillance systems in Türkiye. Binay et al. [66] determined the military classes of Military Academy students suitable for the undergraduate program, and Korkmaz et al. [67] achieved a solution by using the integration of AHP and mathematical model in the study of decision support system problems for allocation of military personnel. Uçakçıoğlu ve Eren [68] analysed the investment problem of the company working in the air force in the defence industry. ...
Companies adopt a customer-centric approach to maintain their competitive position or dominate the market. In this context, managers are pivotal in navigating the competitive markets in accomplishing these goals. Setting targets and conducting performance evaluations are vital for managers' long-term success. This study aims to optimise customer evaluation and manager assignment in the defence industry. An integrated approach utilising the Analytical Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is employed to conduct a comprehensive market analysis and conduct this evaluation. A bi-objective integer programming model is formulated to maximise total integrated scores and potential returns. The efficient number of visits is determined by combining Multi-Criteria Decision Making (MCDM) and Multi-Choice Conic Goal Programming (MCCGP). This study offers an objective alternative to traditional survey-based evaluations by proposing a novel decision support system for Goal-Based Performance Appraisals (GBPA) of managers. The proposed approach yields performance values that are considerably more reliable than questionnaire results. Moreover, the proposed decision support system can effectively benefit employees across diverse sectors, extending beyond the confines of the defence industry.
... The majority of agricultural product growers in China are mainly small farmers [2] who are "scattered, small, disorderly and weak". In order to promote the sustainable development of the rural economy and small farmers, many scholars believe that it is important to help small farmers to produce more agricultural products and make them gain more applied to many fields and achieved breakthroughs, such as personnel position matching in the labor market [15][16][17][18], knowledge service supply and demand matching [19][20][21], resource supply and demand matching [22][23][24], etc. ...
Small farmers’ sustainable development has important significance for narrowing the gap between urban and rural areas and hastening the promotion of general prosperity in China. Currently, China still has 240 million small farmers. The sale of agricultural products is an important source of their income. Constrained by their small scale, lack of capital, and technology, small farmers often have to adopt a household operation mode. This decentralized agricultural production and operation mode results in significant difficulties for small farmers to benefit from planting and selling agricultural products. Many efforts have been made to help them, such as establishing agricultural product information platforms that can provide supply and demand information to facilitate small farmers’ sales. However, imbalances between suppliers and consumers and cross-regional transaction difficulties still exist. To promote the sustainable development of small farmers, this study develops an intelligent matching method for the transaction of agricultural products between suppliers and consumers. Firstly, a unique attribute set for agricultural products was established. Because most agricultural products are fresh, perishable, and not easily preserved, the general attributes (brand, logistics distance, product grade, and price) of commodities and the specific attributes (freshness, maturity, product certification, seasonal products, place of origin, and product safety) of agricultural products were taken into account. Secondly, by combining fuzzy mathematics with the information axiom, improved amount of information calculation methods for both quantitative and qualitative attributes were put forward. Thirdly, based on the amount of information about all attributes and with the goal of maximizing the transaction-matching degree for both the supplier and consumer, a multiobjective optimization model was proposed. Finally, the effectiveness and accuracy of the method were verified through a case study. In order to solve the dilemma of small farmers, this study proposes an integrated matching method for agricultural product transactions based on the information axiom. Through case verification, this method has good feasibility and effectiveness. It has broad application prospects which can be applied to information portals, e-commerce platforms, and other fields. The application of this method can empower small farmers’ capabilities, facilitate agricultural product sales, and promote small farmers’ sustainable development.
... The literature presents few studies that apply MCDM methods to the problem of personnel selection in the military environment. We found few studies that address the themes, such as in the selection of war games [28] and the designation of military personnel to positions of trust [29]. On the other hand, there are many examples of MCDM applications in personnel selection. ...
Personnel selection is increasingly proving to be an essential factor for the success of organizations. These issues almost universally involve multiple conflicting objectives, uncertainties, costs, and benefits in decision-making. In this context, personnel assessment problems, which include several candidates as alternatives, along with several complex evaluation criteria, can be solved by applying Multicriteria Decision Making (MCDM) methods. Uncertainty and subjectivity characterize the choice of personnel for missions or promotions at the military level. In this paper, we evaluated 30 Brazilian Navy officers in the light of four criteria and 34 subcriteria. To support the decision-making process regarding the promotion of officers, we applied the ELECTRE-Mor MCDM method. We categorized the alternatives into three classes in the modeling proposed in this work, namely: Class A (Promotion by deserving), Class B (Promotion by seniority), and Class C (Military not promoted). As a result, the method presented 20% of the officers evaluated with performance corresponding to class A, 53% of the alternatives to class B, and 26.7% with performances attributed to class C. In addition, we presented a sensitivity analysis procedure through variation of the cut-off level λ, allowing decision-making on more flexible or rigorous scenarios at the discretion of the Naval High Administration. This work brings a valuable contribution to academia and society since it represents the application of an MCDM method in state of the art to contribute to solving a real problem.
... Tercih sıralarına puan verilirken mevcut tercihler yanında geçmiş tercihlerde ilave edilerek personel memnuniyetinin artması hedeflenmiştir. Korkmaz (2007Korkmaz ( ,2008, Gökşen ve Çetinyokuş (2008) Analitik Hiyerarşi Prosesi ve iki taraflı eşleşme algoritması (İki tarafın tercihlerine önem veren eşleme) kullanarak silahlı kuvvetler personel ataması problemleri için bir karar destek sistemi önermiştir. Çalışmada; cinsiyet, dil seviyesi, eğitim seviyesi, branşı, ceza durumu, sağlık durumu, evlilik durumu ve tercih kriterleri ana atama kriterleri olarak seçilmiştir. ...
Personel atama problemi genel olarak m tane personelin n adet görev eşleştirilmesi olarak tanımlanabilir. Atama problemi 1950’li yıllardan günümüze kadar birçok alanda karşımıza çıkmaktadır. Atama maliyetleri, personel tercihleri, hizmet puanları, personel ve görev nitelikleri gibi kurumdan kuruma değişen atama kriterlerine göre personel atamaları yapılmaktadır. Bu çalışmada; Türkiye’de güvenlik hizmeti veren bir kamu kurumunun atama sistemini dikkate alan atama problemi tanımlanmıştır. Çalışma; sosyal gelişmişlik, mesafe, okul/eğitim durumu vb. birçok sebeple personelce tercih edilmeyen görev kadrolarına hakkaniyetli bir şekilde personelin atanması için, yeni ve dengeli bir atama modelini hedeflemiştir. Küçük ve tercih edilmeyen yerleşim yerlerindeki görevlerde çalışan personelin gelişmiş ve çok tercih edilen yerleşim yerlerindeki görevlere, gelişmiş ve çok tercih edilen yerleşim yerlerindeki görevlerde çalışan personelin ise küçük ve tercih edilmeyen yerleşim yerlerindeki görevlere atanması için bölgeler arası rotasyonu sağlayan, bir atama modeli önerilmiştir. Literatürdeki çalışmalarda kullanılan “birikimli hizmet puanı” yerine “ortalama hizmet puanları” ile “görev yeri puanları” birlikte kullanılmıştır. Hizmet puanı ve görev puanlarında oluşan denge ile kritik olup tercih edilmeyen görevlere tecrübeli personelin atanması sağlanacaktır. Ayrıca bu model ile karar vericiye toplam atama maliyetinde ve personelin öncelikli tercihlerine atanması konusunda alternatif seçenekler sunulmaktadır. Önerilen matematiksel model ile kurumun atama problemi çözülmüş ve hesaplamalı analiz sonuçları sunulmuştur
... One of the most important educational and knowledge services is to determine the appropriate knowledge matching pair (MP) between end-users and online services, which can be regarded as a representative and typical bilateral matching problem. e bilateral matching was firstly proposed by Gale and Shapley as a classic decision-making method [8] in response to conducting marriage matching and solving problems concerning higher education recruitment, and was further applied in various applications and fields [9][10][11][12][13][14][15][16]. ...
Under the background of information technology and the Internet era, the matching problem in different application scenarios is becoming increasingly prominent. With respect to the matching problem in knowledge services, enabling users to choose suitable knowledge out of massive information has become an urgent demand to be satisfied. Initiating from interdisciplinary perspective, this paper proposes a matching method for online learning services according to user characteristics, which focuses on the matching of decision making for knowledge service with user relevance and characteristic under social network environment. Firstly, the complex network among users is constructed, and the user group is subcategorized into subgroups, thereby aggregating the subgroup information effectively. Secondly, the weight of the indices that evaluate the matching subject is determined by conducting the best-worst method. Thirdly, considering the difference between the expectation and actual levels of the matching subject, the cumulative prospect theory is adopted to calculate the satisfaction degree of both sides. Aiming at maximizing the satisfaction degree of the subjects, a multi-objective optimization model is established to obtain the optimal matching pairs. Finally, the validity and rationality of the proposed method are verified, offering interdisciplinary perspective and theoretical foundation for knowledge service matching and the education reform of humanities.
... Two-sided matching theory can be traced back to the matching of college admissions and stable marriage problems (Gale, 1962). With the development of two-sided matching theory, it has been widely used, such as person-job matching (Korkmaz et al., 2008), smart environmental protection (Yue et al., 2019), technological knowledge supplier and demander matching (Han et al., 2018), task and resources matching , banks and firms matching (Chen & Song, 2013) and partner selection in inter-firm alliances (Echenique et al., 2016). Then, two-sided matching theory has also been extended to the field of healthcare. ...
Matching patients and providers of medical care is necessary to ensure the most efficient use of resources and improve patient satisfaction in telemedicine. Different from the conventional two-sided matching model, this study involves three parties in telemedicine, the patients, primary care physicians (PCPs) acting as both intermediaries and demanders of the match, and the urban specialists. This paper proposes a novel method for matching this complex telemedicine supply-demand, incorporating the dual roles of PCPs as intermediaries and demanders. In order to model the complex psychological perception of matching subjects, cloud-model-based matching is integrated with prospect theory, which optimizes cloud-model-based preference utility calculations as well as disappointment theory for calculating the disappointment value and elation value of matching subjects to obtain the modified preference utility function. In addition, the peer effect and grey relation analysis are used to measure the influence of PCPs on patients, and a multi-objective optimization function is developed to maximize the preference utility values of patients, PCPs, and specialists, and minimize the difference between supply and demand subjects. The proposed matching method achieves optimal matches and overall satisfaction of subjects, along with exploring how matching contributes to a complex telemedicine environment.
... Since its inception in the 1970's, the framework has been the basis for further studies and developments, with variants such as the fuzzy AHP [120] and the Analytic Network Process (ANP) taking inspiration from the original concept. AHP's have been adapted for a wide spectrum of domains ranging from agriculture [121] to the military [122], supplemented by the vast literature on the applications of AHP, with more than 1300 papers and 100 doctoral dissertations studying the topic [123]. As explored in this section, the AHP can be utilised effectively to evaluate dialogue systems providing an interaction attributes are effectively represented. ...
Task-oriented dialogue systems (TODS) are continuing to rise in popularity as various industries find ways to effectively harness their capabilities, saving both time and money. However, even state-of-the-art TODS are not yet reaching their full potential. TODS typically have a primary design focus on completing the task at hand, so the metric of task-resolution should take priority. Other conversational quality attributes that may point to the success, or otherwise, of the dialogue, may be ignored. This can cause interactions between human and dialogue system that leave the user dissatisfied or frustrated. This paper explores the literature on evaluative frameworks of dialogue systems and the role of conversational quality attributes in dialogue systems, looking at if, how, and where they are utilised, and examining their correlation with the performance of the dialogue system.
... Introduced by Saaty, 1,2 the AHP method is widely preferred MCDM method used in different domains such as selecting the best alternative, planning, optimization, resource allocations, and so forth. [9][10][11][12][13][14][15][16] The main reasons for its widespread acceptance are its ease of use, hierarchical structuring of problems, and calculation of both criteria weights and alternative priorities. ...
The use of fuzzy set theory in the analytic hierarchy process (AHP) has gained popularity in recent years as part of the multiple criteria decision-making (MCDM) process to more realistically reflect human judgment. However, due to the nature of fuzzy calculations, this situation imposes more computational load. The aim of this study is to propose methods for obtaining accurate weights from fuzzy pairwise comparison matrices with the least amount of computational load possible. In this context, two different fuzzy AHP (FAHP) methods based on fuzzy numbers ranking methods have been proposed and these proposed methods are compared with commonly accepted FAHP methods. Magnitude-based fuzzy AHP (MFAHP), which is one of the proposed methods, has outperformed all other methods according to accurate weight and computational load. Although the other proposed method, called the total difference-based fuzzy AHP (TDFAHP), gave better results than the frequently used Chang's fuzzy extent analysis method, it could not produce more accurate weight results than many other methods in general. But performance analysis shows that it is as good as the MFAHP in terms of computational load.
