ANALIZA RIZIKA KRITIČNIH INFRASTRUKTURA POMOĆU NEIZRAZITE COPRAS

Critical infrastructures play a significant role in countries because of the essentiality of nation security, public safety, socioeconomic security, and way of life. According to the importance of infrastructures, it is a necessity to analyze the potential risks to do not allow these risks be converted into events. The main purpose of this paper is to provide a developed framework with the aim to overcome limitations of the classical approach to build a more secure, safer, and more resilient critical infrastructures in order to develop, implement, control. The proposed framework extends conventional RAMCAP (Risk Analysis and Management for Critical Asset Protection) through introducing new parameters the effects on risk value. According to the complexity of problem and the inherent uncertainty, this research adopts the fuzzy COPRAS (COPRAS-F) as a fuzzy multi criteria decision making technique to determine the weights of each criterion and the importance of alternatives with respect to criteria. Case analysis is implemented to illustrate the capability and effectiveness of the model for ranking the risk of critical infrastructures. The proposed model demonstrates a significant improvement in comparison with conventional RAMCAP.Kritične infrastrukture imaju važnu ulogu u zemljama radi same važnosti nacionalne sigurnosti, javne sigurnosti, društveno-ekonomske sigurnosti i načina života. S obzirom na važnost infrastruktura potrebno je analizirati potencijalne rizike kako se isti ne bi ostvarili. Svrha ovog rada je ponuditi razvijeni okvir u cilju prevladavanja ograničenja klasičnog pristupa izgradnji sigurnijih i izdržljivijih kritičnih infrastruktura s ciljem razvoja, primjene i kontrole. Predloženi okvir proširuje konvencionalni RAMCAP (Analiza i upravljanje rizikom za zaštitu ključnih faktora) uvođenjem novih parametara učinka na vrijednost rizika. S obzirom na složenost problema i inherentnu nesigurnost, istraživanje koristi neizrazitu (fuzzy) COPRAS (COPRAS-F) kao neizrazitu multi kriterijsku tehniku donošenja odluka kako bi se odredila težina svakog kriterija i važnost alternativa u odnosu na kriterije. Koristi se analiza slučajeva kako bi se prikazala sposobnost i efikasnost modela za rangiranje rizika kritičnih infrastruktura. Predloženi model prikazuje značajan napredak u usporedbi s konvencionalnim RAMCAP-om

ANALIZA RIZIKA KRITIČNIH INFRASTRUKTURA POMOĆU NEIZRAZITE COPRAS

Critical infrastructures play a significant role in countries because of the essentiality of nation security, public safety, socioeconomic security, and way of life. According to the importance of infrastructures, it is a necessity to analyze the potential risks to do not allow these risks be converted into events. The main purpose of this paper is to provide a developed framework with the aim to overcome limitations of the classical approach to build a more secure, safer, and more resilient critical infrastructures in order to develop, implement, control. The proposed framework extends conventional RAMCAP (Risk Analysis and Management for Critical Asset Protection) through introducing new parameters the effects on risk value. According to the complexity of problem and the inherent uncertainty, this research adopts the fuzzy COPRAS (COPRAS-F) as a fuzzy multi criteria decision making technique to determine the weights of each criterion and the importance of alternatives with respect to criteria. Case analysis is implemented to illustrate the capability and effectiveness of the model for ranking the risk of critical infrastructures. The proposed model demonstrates a significant improvement in comparison with conventional RAMCAP.Kritične infrastrukture imaju važnu ulogu u zemljama radi same važnosti nacionalne sigurnosti, javne sigurnosti, društveno-ekonomske sigurnosti i načina života. S obzirom na važnost infrastruktura potrebno je analizirati potencijalne rizike kako se isti ne bi ostvarili. Svrha ovog rada je ponuditi razvijeni okvir u cilju prevladavanja ograničenja klasičnog pristupa izgradnji sigurnijih i izdržljivijih kritičnih infrastruktura s ciljem razvoja, primjene i kontrole. Predloženi okvir proširuje konvencionalni RAMCAP (Analiza i upravljanje rizikom za zaštitu ključnih faktora) uvođenjem novih parametara učinka na vrijednost rizika. S obzirom na složenost problema i inherentnu nesigurnost, istraživanje koristi neizrazitu (fuzzy) COPRAS (COPRAS-F) kao neizrazitu multi kriterijsku tehniku donošenja odluka kako bi se odredila težina svakog kriterija i važnost alternativa u odnosu na kriterije. Koristi se analiza slučajeva kako bi se prikazala sposobnost i efikasnost modela za rangiranje rizika kritičnih infrastruktura. Predloženi model prikazuje značajan napredak u usporedbi s konvencionalnim RAMCAP-om

A Decision Support System for Multiple Criteria Decision Making Problems

Configuration of a system for decision making problem which facilitates decision process and enables users to get higher quality advantages is a deal always in academic communities. This paper deals with proposing and constructing decision making system performing online software. The system implements the algorithm of MOORA and COPRAS techniques with an example of robot selection to test the applicability and validate multi criteria decision problem results. Results shows COPRAS and MOORA ranking of robots are very close to each other especially the 1st and second top alternatives. The software can be extended to the other decision making problems as well

COMBINING THE SUITABILITY-FEASIBILITY-ACCEPTABILITY (SFA) STRATEGY WITH THE MCDM APPROACH

Suitability-Feasibility-Acceptability (SFA) is a fundamental tool for the development and selection of strategy. Any type of decision-making problem can be resolved by Multiple Criteria Decision Making (MCDM) methods. In this research, we explore the complexity of determining the proper goal market for the Chilean fish market. This study proposed a combined approach of SFA with MCDM methods in a real case study. The proposed structure helps to assign the best market for Chilean export fish to West Asia. Three countries (Saudi Arabia, the United Arab Emirates, and Oman) are selected as a target market in this region, and then related criteria are obtained from various sources. In order to develop a new market for the Chilean fishery industry, five major criteria, including the potential of a target market, region's economic attractiveness, consumption of the seafood, location, cost of transportation, and country risks, were selected based on the SFA framework. Calculating the criteria weights is performed by the Best-Worst (BWM) method, and ordering the alternatives is operated by Measurement Alternatives and Ranking according to compromise Solution (MARCOS) methods. The results showed that Oman is the best destination (importer) for the Chilean fish market (Salmon fish as the case)

Pituitary Adenoma: Early Results after Gamma Knife Radiosurgery in Iran

Purpose: To study early treatment outcomes and complications of Gamma Knife Radiosurgery(GKRS) in patients with functional and nonfunctional adenomas.Methods: One hundred patients with a pituitary adenoma who were treated between 2011 and2014 at Iran Gamma Knife Center were studied. The patients were followed up at least 2 years.Radiosurgery was performed using the Leksell Gamma Unit. The median radiation dose was18 Gy for non-functional and 24 Gy for functional adenoma. The MRI were compared pre andpost operation for any change in tumor size. Endocrine follow up was used to determine theonset of new hormone deficiency when available or decrease in hormonal level.Results: Our study group comprised 42 men (42%) and 58 women (58%). Ninety-three patientswere treated for recurrent or residual disease after Trans-sphenoidal surgery or craniotomy and 7patients were treated as primary modality because of extensive involvement of cavernous sinus orhigh risk for surgery. Forty-six patients (46%) had a diagnosis nonfunctional and 54 of patients(54%) had hormone-secreting tumors including growth hormone secreting (23%), prolactinoma(15%) and ACTH-secreting tumor (6%). No mortality was reported. Acute complication wasuncommon and of no clinical significance. Late complication was noted in two patients (2%)and consisted of VI cranial nerve palsy with spontaneous resolution. None of the patientsdeveloped visual loss. Before GKRS, 8 patients had cranial nerve palsy. After the treatment, thepalsy resolved in six (75%) of these patients. Only 9.5% of patients developed hypopituitarismand required replacement therapy. Overall control was 92% (28% decreased in volume and64% were unchanged), 8% experienced an increase in volume size. Normalization of GH andIGF-1 for GH-secreting hormone was 48% with overall control of 73%. PRL normalization forprolactinoma was 46% with overall control of 67%. ACTH normalization for ACTH-secretinghormone was 35% with overall control of 70%.Conclusion: It seems that GKRS to be safe and effective method for tumor control and optimalhormonal function